Triple

T176634
Position Surface form Disambiguated ID Type / Status
Subject Persian language E3587 entity
Predicate standardFormBasedIn P7435 FINISHED
Object Tehran dialect
The Tehran dialect is the modern urban variety of Persian spoken in Iran’s capital, which serves as the basis for contemporary standard Persian in media and education.
E22450 NE FINISHED

How this triple was built (5 steps)

Every LLM step that produced this triple, in pipeline order — named-entity classification, the disambiguation choices (the exact options shown, with the pick highlighted), and the generated description. The batch + timestamp of each is in the Provenance table below.

NER Named-entity recognition gpt-5-mini
Instruction
Given a phrase, classify it is english named entity (e.g., persons, organizations, works of art) in Latin script, or not (e.g., literals, dates, URLs, verbose phrases). For disambiguation, the statement where the phrase occurs as object is also given. Please return a JSON object with `phrase` (string, the phrase being analyzed) and `is_ne` (boolean, indicating whether the phrase is a Named Entity).
Input
Phrase: Tehran dialect | Statement: [Persian language, standardFormBasedIn, Tehran dialect]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Tehran dialect
Context triple: [Persian language, standardFormBasedIn, Tehran dialect]
  • A. Persian language
    Persian language is a major modern Iranian language spoken primarily in Iran, Afghanistan, and Tajikistan, known for its rich literary tradition and historical influence across the Middle East and Central Asia.
  • B. Iranian languages
    Iranian languages are a branch of the Indo-Iranian family of Indo-European languages, historically spoken across Iran, Central Asia, and surrounding regions, including major languages such as Persian (Farsi), Pashto, and Kurdish.
  • C. Judeo-Persian
    Judeo-Persian is a group of Persian dialects historically spoken and written by Jewish communities in Iran, typically using the Hebrew script and incorporating Hebrew and Aramaic elements.
  • D. Mesopotamian Arabic
    Mesopotamian Arabic is a major variety of Arabic spoken primarily in Iraq and neighboring regions, characterized by distinctive phonological and grammatical features that set it apart from other Arabic dialects.
  • E. Pashto language
    Pashto is an Eastern Iranian language spoken primarily in Afghanistan and Pakistan, serving as one of Afghanistan’s official languages and a key marker of Pashtun ethnic identity.
  • F. None of above. chosen
  • G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg Description generation gpt-5.1
Instruction
Generate a one-sentence description of the target entity. 
You are given a context triple in the form (subject, predicate, object), where the object is the target entity. 
# Instructions
Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. 
Avoid repeating the information from the triple, unless really essential.
# Response Format
Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Tehran dialect
Triple: [Persian language, standardFormBasedIn, Tehran dialect]
Generated description
The Tehran dialect is the modern urban variety of Persian spoken in Iran’s capital, which serves as the basis for contemporary standard Persian in media and education.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Tehran dialect
Target entity description: The Tehran dialect is the modern urban variety of Persian spoken in Iran’s capital, which serves as the basis for contemporary standard Persian in media and education.
  • A. Persian language
    Persian language is a major modern Iranian language spoken primarily in Iran, Afghanistan, and Tajikistan, known for its rich literary tradition and historical influence across the Middle East and Central Asia.
  • B. Iranian languages
    Iranian languages are a branch of the Indo-Iranian family of Indo-European languages, historically spoken across Iran, Central Asia, and surrounding regions, including major languages such as Persian (Farsi), Pashto, and Kurdish.
  • C. Judeo-Persian
    Judeo-Persian is a group of Persian dialects historically spoken and written by Jewish communities in Iran, typically using the Hebrew script and incorporating Hebrew and Aramaic elements.
  • D. Mesopotamian Arabic
    Mesopotamian Arabic is a major variety of Arabic spoken primarily in Iraq and neighboring regions, characterized by distinctive phonological and grammatical features that set it apart from other Arabic dialects.
  • E. Pashto language
    Pashto is an Eastern Iranian language spoken primarily in Afghanistan and Pakistan, serving as one of Afghanistan’s official languages and a key marker of Pashtun ethnic identity.
  • F. None of above. chosen
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: standardFormBasedIn
Context triple: [Persian language, standardFormBasedIn, Tehran dialect]
  • A. standardType
    Indicates that one entity is classified as the standard, canonical, or reference type for another entity or context.
  • B. standardizedBy
    Indicates that one entity defines, regulates, or formalizes the standards or specifications by which another entity is created, measured, or operated.
  • C. standardNumber
    Indicates that an entity is associated with a canonical or officially recognized reference number used for identification or classification.
  • D. firstStandardized
    Indicates that an entity is the earliest or primary instance to which a standard or uniform specification has been first applied among comparable entities.
  • E. establishedInCurrentForm
    Indicates the point in time when something took on its present structure, organization, or configuration, distinct from any earlier versions or forms.
  • F. None of above. chosen

Provenance (7 batches)

The batch behind each pipeline step, in order, with when it ran. Timestamps are batch-level — stages were processed in waves, so the object chain (NER → NED1 → NEDg → NED2) reads in order, but predicate / elicitation batches can sit in a different wave.

Step Stage Batch ID Status When
creating Elicitation batch_69a25374990081909766d30c79a18e0e completed Feb. 28, 2026, 2:31 a.m.
NER Named-entity recognition batch_69a258fd278481908ad4498e03f38e2f completed Feb. 28, 2026, 2:54 a.m.
NED1 Entity disambiguation (via context triple) batch_69a2ee8a9e488190958091fb3bcf2d01 completed Feb. 28, 2026, 1:32 p.m.
NEDg Description generation batch_69a2ef062c6c8190b50d1c1102161259 completed Feb. 28, 2026, 1:35 p.m.
NED2 Entity disambiguation (via description) batch_69a2ef8234bc81909449654ee2f4c000 completed Feb. 28, 2026, 1:37 p.m.
PD Predicate disambiguation batch_69a25669d99481908c5e82ba8641205a completed Feb. 28, 2026, 2:43 a.m.
PDg Predicate description generation batch_69a258b30f6c8190be2181f30c40e04d completed Feb. 28, 2026, 2:53 a.m.
Created at: Feb. 28, 2026, 2:39 a.m.