Triple

T19363456
Position Surface form Disambiguated ID Type / Status
Subject Nadbai E484338 entity
Predicate associatedWith P37 FINISHED
Object Bharatpur division 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: Bharatpur division | Statement: [Nadbai, associatedWith, Bharatpur division]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Bharatpur division
Context triple: [Nadbai, associatedWith, Bharatpur division]
  • A. Bharatpur division chosen
    Bharatpur division is an administrative division in the Indian state of Rajasthan, comprising several districts including Dholpur and centered around the city of Bharatpur.
  • B. Bettiah division
    Bettiah division is an administrative division in the Indian state of Bihar that includes districts such as Gopalganj.
  • C. Benares Division
    Benares Division was an administrative division centered around the historic city of Benares (Varanasi) in British India’s North-Western Provinces.
  • D. Bhagalpur division
    Bhagalpur division is an administrative division in the Indian state of Bihar, centered around the city of Bhagalpur and comprising several surrounding districts.
  • E. Sibi Division
    Sibi Division is an administrative division in the Balochistan province of Pakistan, comprising several districts and serving as a regional governance and coordination unit.
  • 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_69d8e8d305088190ad13571532aa454c completed April 10, 2026, 12:10 p.m.
NER Named-entity recognition batch_69e619a897008190a2c62a50ca60de2d completed April 20, 2026, 12:18 p.m.
Created at: April 10, 2026, 1:34 p.m.