Triple

T6771258
Position Surface form Disambiguated ID Type / Status
Subject Anyin language E155046 entity
Predicate hasDialect P4251 FINISHED
Object Anyin Agni
Anyin Agni is a dialect of the Anyin language spoken by Agni communities, primarily in parts of Côte d’Ivoire and neighboring regions.
 E617315 NE FINISHED

How this triple was built (4 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: Anyin Agni | Statement: [Anyin language, hasDialect, Anyin Agni]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Anyin Agni
Context triple: [Anyin language, hasDialect, Anyin Agni]
  • A. Agni
    Agni is the Vedic god of fire, revered as a central deity of sacrifice and a divine messenger between humans and the gods in ancient Indian religion.
  • B. Yagnik
    Yagnik is an Indian surname commonly associated with Gujarati families and notable figures in politics, arts, and public life.
  • C. Angaraja
    Angaraja is an epithet of Karna, the legendary warrior king from the Indian epic Mahabharata renowned for his valor, loyalty, and tragic fate.
  • D. Saartha
    Saartha is a renowned Kannada novel by S. L. Bhyrappa that explores philosophical, cultural, and spiritual themes through a journey set in ancient India.
  • E. Ashvinau
    Ashvinau is another name for the Ashvins, the twin Vedic deities of medicine and dawn in Hindu mythology.
  • 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: Anyin Agni
Triple: [Anyin language, hasDialect, Anyin Agni]
Generated description
Anyin Agni is a dialect of the Anyin language spoken by Agni communities, primarily in parts of Côte d’Ivoire and neighboring regions.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Anyin Agni
Target entity description: Anyin Agni is a dialect of the Anyin language spoken by Agni communities, primarily in parts of Côte d’Ivoire and neighboring regions.
  • A. Agni
    Agni is the Vedic god of fire, revered as a central deity of sacrifice and a divine messenger between humans and the gods in ancient Indian religion.
  • B. Yagnik
    Yagnik is an Indian surname commonly associated with Gujarati families and notable figures in politics, arts, and public life.
  • C. Angaraja
    Angaraja is an epithet of Karna, the legendary warrior king from the Indian epic Mahabharata renowned for his valor, loyalty, and tragic fate.
  • D. Saartha
    Saartha is a renowned Kannada novel by S. L. Bhyrappa that explores philosophical, cultural, and spiritual themes through a journey set in ancient India.
  • E. Ashvinau
    Ashvinau is another name for the Ashvins, the twin Vedic deities of medicine and dawn in Hindu mythology.
  • 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_69c68812ef7c819099369f51febb725c completed March 27, 2026, 1:37 p.m.
NER Named-entity recognition batch_69c6d2496fa08190895d8b625fb0d699 completed March 27, 2026, 6:54 p.m.
NED1 Entity disambiguation (via context triple) batch_69c712c46b70819097401afab991c808 completed March 27, 2026, 11:29 p.m.
NEDg Description generation batch_69c713853bf88190a8a07fd9f4ea1687 completed March 27, 2026, 11:32 p.m.
NED2 Entity disambiguation (via description) batch_69c713ead2a48190bbf95caf2ca8d997 completed March 27, 2026, 11:34 p.m.
Created at: March 27, 2026, 2:13 p.m.