Triple

T19888497
Position Surface form Disambiguated ID Type / Status
Subject Azamgarh E477965 entity
Predicate hasVidhanSabhaConstituency P23217 FINISHED
Object Azamgarh Urban 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 Urban | Statement: [Azamgarh, hasVidhanSabhaConstituency, Azamgarh Urban]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Azamgarh Urban
Context triple: [Azamgarh, hasVidhanSabhaConstituency, Azamgarh Urban]
  • A. Azamgarh chosen
    Azamgarh is a city in the Purvanchal region of eastern Uttar Pradesh, India, known as an important cultural and educational center.
  • B. Ghazipur
    Ghazipur is a city in the Indian state of Uttar Pradesh, known for its historical significance and as a regional hub in eastern Uttar Pradesh.
  • C. Azamgarh district
    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.
  • D. Amroha
    Amroha is a town and municipal board in Uttar Pradesh, India, known for its historical significance and cultural heritage.
  • E. Kanpur Dehat
    Kanpur Dehat is a largely rural district in the central part of Uttar Pradesh, India, known for its agricultural economy and proximity to the industrial hub of Kanpur Nagar.
  • 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_69d8e51f32b08190b3687f4f60353250 completed April 10, 2026, 11:55 a.m.
NER Named-entity recognition batch_69e6590c1b9c8190abbfaa04b80713b3 completed April 20, 2026, 4:49 p.m.
Created at: April 10, 2026, 1:52 p.m.