Triple

T4839390
Position Surface form Disambiguated ID Type / Status
Subject Ara E108139 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: [Ara, division, Patna division]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Patna division
Context triple: [Ara, 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. 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.
  • C. 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.
  • D. Allahabad Division
    Allahabad Division was an administrative subdivision centered on the city of Allahabad within British India’s North-Western Provinces.
  • E. Benares Division
    Benares Division was an administrative division centered around the historic city of Benares (Varanasi) in British India’s North-Western Provinces.
  • 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_69bd43fbe444819085cb970706ef73f7 completed March 20, 2026, 12:56 p.m.
NER Named-entity recognition batch_69bd6ce4a5108190aede620d5dde1f81 completed March 20, 2026, 3:51 p.m.
NED1 Entity disambiguation (via context triple) batch_69be5cc5861881908ad3838168325a34 completed March 21, 2026, 8:54 a.m.
Created at: March 20, 2026, 1:25 p.m.