Triple

T294045
Position Surface form Disambiguated ID Type / Status
Subject Urdu E6054 entity
Predicate usesAdditionalLettersFrom P10533 FINISHED
Object Persian E3587 NE FINISHED

How this triple was built (3 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: Persian | Statement: [Urdu, usesAdditionalLettersFrom, Persian]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Persian
Context triple: [Urdu, usesAdditionalLettersFrom, Persian]
  • A. Persian language chosen
    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. 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.
  • C. 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.
  • D. Old Persian
    Old Persian is an ancient Iranian language used in the Achaemenid Empire, primarily known from royal inscriptions such as those of Darius the Great.
  • E. 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.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: usesAdditionalLettersFrom
Context triple: [Urdu, usesAdditionalLettersFrom, Persian]
  • A. hasAdditionalLetters
    Indicates that one entity contains extra or more letters than another entity, beyond a specified base set or reference.
  • B. usesAlphabet
    Indicates that one entity employs or is written using the alphabet or writing system associated with another entity.
  • C. hasBasicLetters
    Indicates that an entity contains or is composed of fundamental alphabetic characters, without additional symbols or diacritics.
  • D. excludesLetter
    Indicates that one entity does not contain or allow the presence of a specified letter.
  • E. hasLetterBy
    Indicates that an entity possesses or is associated with a letter authored or sent by another entity.
  • F. None of above. chosen

Provenance (5 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_69a2e79114b081909490b3bf5a5dbb51 completed Feb. 28, 2026, 1:03 p.m.
NER Named-entity recognition batch_69a2ea0dd1dc8190aecd5afdeb2fd74b completed Feb. 28, 2026, 1:13 p.m.
NED1 Entity disambiguation (via context triple) batch_69a3a5d514388190ac0f748a406ae43e completed March 1, 2026, 2:35 a.m.
PD Predicate disambiguation batch_69a2e934b4408190b53a17f57a02df65 completed Feb. 28, 2026, 1:10 p.m.
PDg Predicate description generation batch_69a2ea07e3bc8190bae593b3264de211 completed Feb. 28, 2026, 1:13 p.m.
Created at: Feb. 28, 2026, 1:06 p.m.