Triple

T17072702
Position Surface form Disambiguated ID Type / Status
Subject Ahmednagar district E414261 entity
Predicate hasMajorTown P316 FINISHED
Object Kopargaon E551342 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: Kopargaon | Statement: [Ahmednagar district, hasMajorTown, Kopargaon]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Kopargaon
Context triple: [Ahmednagar district, hasMajorTown, Kopargaon]
  • A. Kopargaon chosen
    Kopargaon is a town in the Ahmednagar district of Maharashtra, India, known as a commercial and transport hub near the pilgrimage city of Shirdi.
  • B. Dharbandora
    Dharbandora is a taluka (administrative subdivision) in the Indian state of Goa, located within the South Goa district.
  • C. Khanapur
    Khanapur is a town in the Indian state of Karnataka known for its scenic surroundings, forested areas, and proximity to the Western Ghats.
  • D. Talegaon
    Talegaon is an industrial town in the Pune Metropolitan Region of Maharashtra, India, known for its manufacturing hubs and proximity to Pune city.
  • E. Dhrol
    Dhrol is a town in the Jamnagar district of Gujarat, India, known historically as the seat of the former princely Dhrol State.
  • 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_69d886cef44c8190ba56c44b4e863e64 completed April 10, 2026, 5:12 a.m.
NER Named-entity recognition batch_69e3dbc28fec81909c39d432094d9cdd completed April 18, 2026, 7:30 p.m.
NED1 Entity disambiguation (via context triple) batch_6a012edbce988190a784448ba8a258a5 completed May 11, 2026, 1:20 a.m.
Created at: April 10, 2026, 5:34 a.m.