Triple

T12375779
Position Surface form Disambiguated ID Type / Status
Subject Bihar Sharif E295118 entity
Predicate division P889 FINISHED
Object Patna division E379529 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: Patna division | Statement: [Bihar Sharif, division, Patna division]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Patna division
Context triple: [Bihar Sharif, division, Patna division]
  • A. Patna division chosen
    Patna division is an administrative division in the Indian state of Bihar, encompassing the city of Patna and surrounding districts for regional governance.
  • B. 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.
  • C. Lucknow division
    Lucknow division is an administrative division in the Indian state of Uttar Pradesh that includes districts such as Lucknow and Rae Bareli.
  • D. Patna district
    Patna district is an administrative district in the state of Bihar, India, encompassing the state capital city of Patna and its surrounding areas.
  • E. Gorakhpur Division
    Gorakhpur Division was an administrative subdivision in British India within the North-Western Provinces, centered on the city of Gorakhpur and surrounding districts in the eastern Gangetic plain.
  • 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_69d6ab6d8a4081908636601e69ddf262 completed April 8, 2026, 7:24 p.m.
NER Named-entity recognition batch_69d93fb8d6c081909e8bbbd52c73f29c completed April 10, 2026, 6:21 p.m.
NED1 Entity disambiguation (via context triple) batch_69f62ac3c9f081909cd55f966ab6b465 completed May 2, 2026, 4:48 p.m.
Created at: April 8, 2026, 9:54 p.m.