Triple

T945811
Position Surface form Disambiguated ID Type / Status
Subject Dagestan E20410 entity
Predicate hasRecognizedLanguages P238 FINISHED
Object Avar
Avar is a Northeast Caucasian language spoken primarily by the Avar people in Dagestan and neighboring regions of the North Caucasus.
E112560 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: Avar | Statement: [Dagestan, hasRecognizedLanguages, Avar]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Avar
Context triple: [Dagestan, hasRecognizedLanguages, Avar]
  • A. Avusy
    Avusy is a small rural municipality located in the canton of Geneva in southwestern Switzerland, near the French border.
  • B. Riasti
    Riasti is a regional dialect of the Saraiki language spoken primarily in parts of southern Punjab, Pakistan.
  • C. Varaha
    Varaha is the boar incarnation of the Hindu god Vishnu, revered for rescuing the earth from cosmic waters and defeating the demon Hiranyaksha.
  • D. Hazaragi
    Hazaragi is a variety of Persian primarily spoken by the Hazara people of central Afghanistan and surrounding regions, distinguished by its unique phonology and significant Turkic and Mongolic influences.
  • E. Abckiria
    Abckiria is a 16th-century Finnish primer and religious text by Mikael Agricola, regarded as the first book printed in the Finnish language.
  • 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: Avar
Triple: [Dagestan, hasRecognizedLanguages, Avar]
Generated description
Avar is a Northeast Caucasian language spoken primarily by the Avar people in Dagestan and neighboring regions of the North Caucasus.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Avar
Target entity description: Avar is a Northeast Caucasian language spoken primarily by the Avar people in Dagestan and neighboring regions of the North Caucasus.
  • A. Avusy
    Avusy is a small rural municipality located in the canton of Geneva in southwestern Switzerland, near the French border.
  • B. Riasti
    Riasti is a regional dialect of the Saraiki language spoken primarily in parts of southern Punjab, Pakistan.
  • C. Varaha
    Varaha is the boar incarnation of the Hindu god Vishnu, revered for rescuing the earth from cosmic waters and defeating the demon Hiranyaksha.
  • D. Hazaragi
    Hazaragi is a variety of Persian primarily spoken by the Hazara people of central Afghanistan and surrounding regions, distinguished by its unique phonology and significant Turkic and Mongolic influences.
  • E. Abckiria
    Abckiria is a 16th-century Finnish primer and religious text by Mikael Agricola, regarded as the first book printed in the Finnish language.
  • F. None of above. chosen
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: hasRecognizedLanguages
Context triple: [Dagestan, hasRecognizedLanguages, Avar]
  • A. recognizedLanguage chosen
    Indicates that an entity has identified, detected, or acknowledged a particular language as being used or present.
  • B. hasApproximateNumberOfLanguages
    Indicates that an entity is associated with a quantity representing an estimated or non-exact count of languages.
  • C. hasSignificantLanguage
    Indicates that an entity possesses a language that plays an important or primary role in its communication, identity, or functioning.
  • D. estimatedNumberOfLanguages
    Indicates the approximate count of distinct languages associated with an entity, typically based on estimation rather than an exact measurement.
  • E. hasLanguageModel
    Indicates that an entity possesses, uses, or is associated with a particular language model.
  • F. None of above.

Provenance (6 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_69a493b0f2fc81908cd227480a5356a1 completed March 1, 2026, 7:29 p.m.
NER Named-entity recognition batch_69a4b3a61b648190b1b6c932e047e161 completed March 1, 2026, 9:46 p.m.
NED1 Entity disambiguation (via context triple) batch_69a933a643708190a8d3da54b1e91bcf completed March 5, 2026, 7:41 a.m.
NEDg Description generation batch_69a93a0c69f881909e8843c7c8ca7d9d completed March 5, 2026, 8:08 a.m.
NED2 Entity disambiguation (via description) batch_69aa926943788190857398fecfd9c9da completed March 6, 2026, 8:38 a.m.
PD Predicate disambiguation batch_69a4b29f05f481908814bd11f235e9d0 completed March 1, 2026, 9:41 p.m.
Created at: March 1, 2026, 7:40 p.m.