Triple

T10173789
Position Surface form Disambiguated ID Type / Status
Subject Narayanpur Dam E235797 entity
Predicate nearestCity P350 FINISHED
Object Yadgir E705872 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: Yadgir | Statement: [Narayanpur Dam, nearestCity, Yadgir]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Yadgir
Context triple: [Narayanpur Dam, nearestCity, Yadgir]
  • A. Yadgir chosen
    Yadgir is a district in the Indian state of Karnataka, known for its agricultural economy and historical forts and temples.
  • B. Shivamogga
    Shivamogga is a city in the Malnad region of Karnataka, India, known for its scenic landscapes, proximity to waterfalls like Jog Falls, and role as a regional commercial and educational hub.
  • C. Kalaburagi
    Kalaburagi is a major city in the northern part of the Indian state of Karnataka, known historically as Gulbarga and noted for its rich heritage and architectural monuments from the Bahmani Sultanate era.
  • D. Raichur
    Raichur is a historic city in the Indian state of Karnataka, known for its ancient forts, archaeological significance, and strategic location between major river systems.
  • E. Ulhasnagar
    Ulhasnagar is a city in the Mumbai Metropolitan Region of Maharashtra, India, known for its large Sindhi community and extensive furniture and textile markets.
  • 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_69ca84d1d5f88190ab878a1021ecff68 completed March 30, 2026, 2:12 p.m.
NER Named-entity recognition batch_69cdeca0dc508190916f2a1bbb288192 completed April 2, 2026, 4:12 a.m.
NED1 Entity disambiguation (via context triple) batch_69d3178844c48190af952ac30a4d6d97 completed April 6, 2026, 2:16 a.m.
Created at: March 30, 2026, 9:11 p.m.