Triple

T7913759
Position Surface form Disambiguated ID Type / Status
Subject Chandrapur district E183764 entity
Predicate hasHeadquarters P62 FINISHED
Object Chandrapur E183764 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: Chandrapur | Statement: [Chandrapur district, hasHeadquarters, Chandrapur]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Chandrapur
Context triple: [Chandrapur district, hasHeadquarters, Chandrapur]
  • A. Chandrapur chosen
    Chandrapur is a district in the eastern part of Maharashtra, India, known for its coal mining industry, forests, and wildlife, including the Tadoba-Andhari Tiger Reserve.
  • B. Latur
    Latur is a city in the Marathwada region of western India known for its agricultural economy and for being the epicenter of a devastating earthquake in 1993.
  • C. Sangli
    Sangli is a city in the Indian state of Maharashtra known for its fertile agricultural surroundings and prominence in sugar and turmeric production.
  • D. Gondia
    Gondia is a district in the Indian state of Maharashtra, known for its rice production and proximity to forests and wildlife reserves.
  • E. Nanded
    Nanded is a historic city in the Indian state of Maharashtra, known as an important Sikh pilgrimage center and a major urban hub in the Marathwada region.
  • 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_69ca828dec0c81908b8f55a4dbbb53ff completed March 30, 2026, 2:02 p.m.
NER Named-entity recognition batch_69cb3a748f4c8190bcd868de2fcf0b3a completed March 31, 2026, 3:07 a.m.
NED1 Entity disambiguation (via context triple) batch_69ccbde69b608190a49d93c04c46787d completed April 1, 2026, 6:40 a.m.
Created at: March 30, 2026, 5:04 p.m.