Triple

T17628278
Position Surface form Disambiguated ID Type / Status
Subject Azamgarh division E429905 entity
Predicate hasDistrict P459 FINISHED
Object Azamgarh district NE NERFINISHED

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: Azamgarh district | Statement: [Azamgarh division, hasDistrict, Azamgarh district]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Azamgarh district
Context triple: [Azamgarh division, hasDistrict, Azamgarh district]
  • A. Azamgarh district chosen
    Azamgarh district is an administrative region in the Indian state of Uttar Pradesh, known for its historical significance, cultural heritage, and growing connectivity within eastern Uttar Pradesh.
  • B. Amroha district
    Amroha district is an administrative district in the Indian state of Uttar Pradesh, known for its historical significance and cultural heritage.
  • C. Jaunpur district
    Jaunpur district is an administrative region in the Indian state of Uttar Pradesh, known for its historical significance and fertile plains.
  • D. Jalaun district
    Jalaun district is an administrative district in the state of Uttar Pradesh, India, located in the Bundelkhand region and known for its predominantly agrarian landscape.
  • E. Bhadohi district
    Bhadohi district is a district in the Indian state of Uttar Pradesh, widely known as a major center for carpet weaving and textile production.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 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_69d889e37f308190a6aa0a69daff86c7 completed April 10, 2026, 5:25 a.m.
NER Named-entity recognition batch_69e46dbe3a308190a818d04f1a9b15f7 completed April 19, 2026, 5:53 a.m.
Created at: April 10, 2026, 5:52 a.m.