Triple

T4762835
Position Surface form Disambiguated ID Type / Status
Subject Bhojpur district E105736 entity
Predicate alsoKnownAs P39 FINISHED
Object Bhojpur E105736 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: Bhojpur | Statement: [Bhojpur district, alsoKnownAs, Bhojpur]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Bhojpur
Context triple: [Bhojpur district, alsoKnownAs, Bhojpur]
  • A. Bhojpur district chosen
    Bhojpur district is an administrative region in the Indian state of Bihar, historically significant as the birthplace of the 19th-century freedom fighter Kunwar Singh.
  • B. Burhanpur
    Burhanpur is a historic city in central India known for its Mughal-era architecture and strategic location on the banks of the Tapti River.
  • C. Chhatarpur
    Chhatarpur is a city in central India known as an administrative and commercial center in the Bundelkhand region of Madhya Pradesh.
  • D. Saharsa
    Saharsa is a city in the northeastern Indian state of Bihar, known as a major agricultural and commercial center in the Kosi river region.
  • E. Samastipur
    Samastipur is a city in the Indian state of Bihar known as an important railway junction and agricultural trade center in the 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_69bd43f14cac819081c7c69803648211 completed March 20, 2026, 12:56 p.m.
NER Named-entity recognition batch_69bd651091cc81909b835439c85e842f completed March 20, 2026, 3:17 p.m.
NED1 Entity disambiguation (via context triple) batch_69be3a81c9dc8190b9e7f399ac1de268 completed March 21, 2026, 6:28 a.m.
Created at: March 20, 2026, 1:20 p.m.