Triple

T5060259
Position Surface form Disambiguated ID Type / Status
Subject Vidarbha E114004 entity
Predicate hasDistrict P459 FINISHED
Object Amravati district E220736 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: Amravati district | Statement: [Vidarbha, hasDistrict, Amravati district]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Amravati district
Context triple: [Vidarbha, hasDistrict, Amravati district]
  • A. Amravati district chosen
    Amravati district is an administrative district in the state of Maharashtra, India, known for its agricultural economy and as part of the Vidarbha region.
  • B. Narmada district
    Narmada district is an administrative district in the state of Gujarat, India, known for the Narmada River and the Statue of Unity near Kevadia.
  • C. Sitapur district
    Sitapur district is an administrative district in the Indian state of Uttar Pradesh, known for its agricultural landscape and location in the fertile plains of northern India.
  • D. Yavatmal district
    Yavatmal district is an administrative district in the Vidarbha region of Maharashtra, India, known for its cotton-growing agriculture and predominantly rural landscape.
  • E. Solapur district
    Solapur district is an administrative district in the state of Maharashtra, India, known for its textile industry, historical temples, and semi-arid Deccan Plateau landscape.
  • 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_69bd443c0c8c81908663b77afb28e165 completed March 20, 2026, 12:57 p.m.
NER Named-entity recognition batch_69bd7472a1dc8190942f568a81fdd961 completed March 20, 2026, 4:23 p.m.
NED1 Entity disambiguation (via context triple) batch_69bf6c33898081908cd91ee65a078010 completed March 22, 2026, 4:12 a.m.
Created at: March 20, 2026, 1:38 p.m.