Triple

T10945483
Position Surface form Disambiguated ID Type / Status
Subject Chhapra E258584 entity
Predicate division P889 FINISHED
Object Saran division E786862 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: Saran division | Statement: [Chhapra, division, Saran division]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Saran division
Context triple: [Chhapra, division, Saran division]
  • A. Saran division chosen
    Saran division was an administrative division in the former Bengal Presidency of British India, encompassing areas such as Saran district.
  • B. Serian Division
    Serian Division is an administrative division in the Malaysian state of Sarawak, known for its significant Bidayuh population and predominantly rural, agricultural landscape.
  • C. Menchum Division
    Menchum Division is an administrative area in northwestern Cameroon known for its diverse ethnic communities and largely rural, agrarian landscape.
  • D. Roza Division
    Roza Division is an irrigation unit within the U.S. Bureau of Reclamation’s Yakima Project in Washington State, delivering water to agricultural lands in the Yakima Valley.
  • 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 (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_69d6aa8769b4819082bfe5e61b9017f0 completed April 8, 2026, 7:20 p.m.
NER Named-entity recognition batch_69d770e9a89081908979efd1d9e6af66 completed April 9, 2026, 9:27 a.m.
NED1 Entity disambiguation (via context triple) batch_69e23c3c885081908edcece772b2e759 completed April 17, 2026, 1:57 p.m.
Created at: April 8, 2026, 9:23 p.m.