Triple

T5300376
Position Surface form Disambiguated ID Type / Status
Subject Awadhi E119962 entity
Predicate spokenIn P2266 FINISHED
Object Faizabad division E473860 NE FINISHED

How this triple was built (2 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: Faizabad division | Statement: [Awadhi, spokenIn, Faizabad division]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Faizabad division
Context triple: [Awadhi, spokenIn, Faizabad division]
  • A. Faizabad division chosen
    Faizabad division is an administrative division in the Indian state of Uttar Pradesh that encompasses several districts and parliamentary constituencies, including Amethi.
  • B. Moradabad division
    Moradabad division is an administrative division in the Indian state of Uttar Pradesh, centered around the city of Moradabad and comprising several surrounding districts.
  • C. Azamgarh division
    Azamgarh division is an administrative division in the Indian state of Uttar Pradesh that encompasses several districts in the eastern part of the state.
  • D. Gulshanabad division
    Gulshanabad division is an administrative subdivision centered on Gulshanabad in the Medak region of India.
  • E. Bareilly division
    Bareilly division is an administrative division in the Indian state of Uttar Pradesh that includes Bareilly and surrounding districts for regional governance.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (3 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_69bd446f22b88190b6a47fb91c68a3e7 completed March 20, 2026, 12:58 p.m.
NER Named-entity recognition batch_69bd850877688190a611d6293ca58d94 completed March 20, 2026, 5:34 p.m.
NED1 Entity disambiguation (via context triple) batch_69bf10ec33ac819083d283e960a049af completed March 21, 2026, 9:43 p.m.
Created at: March 20, 2026, 1:53 p.m.