Triple

T6942870
Position Surface form Disambiguated ID Type / Status
Subject Bidayuh E160719 entity
Predicate region P40 FINISHED
Object Serian Division E582799 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: Serian Division | Statement: [Bidayuh, region, Serian Division]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Serian Division
Context triple: [Bidayuh, region, Serian Division]
  • A. Serian Division chosen
    Serian Division is an administrative division in the Malaysian state of Sarawak, known for its significant Bidayuh population and predominantly rural, agricultural landscape.
  • B. Korstian Division
    Korstian Division is a major research and teaching section of Duke Forest used for studies in ecology, forestry, and environmental science.
  • C. Bui Division
    Bui Division is an administrative division in Cameroon’s Northwest Region, known for its highland terrain and predominantly Nso’ communities centered around the town of Kumbo.
  • D. Menchum Division
    Menchum Division is an administrative area in northwestern Cameroon known for its diverse ethnic communities and largely rural, agrarian landscape.
  • E. Mezam Division
    Mezam Division is an administrative division in Cameroon's Northwest Region that includes the regional capital, Bamenda, and serves as an important political and economic center in the area.
  • 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_69c6884f3db4819080ad65da69386206 completed March 27, 2026, 1:38 p.m.
NER Named-entity recognition batch_69c6da876c9c8190996f3ff84858e8d1 completed March 27, 2026, 7:29 p.m.
NED1 Entity disambiguation (via context triple) batch_69c7515bb4688190a81bef732676eb4e completed March 28, 2026, 3:56 a.m.
Created at: March 27, 2026, 2:28 p.m.