Triple

T15120675
Position Surface form Disambiguated ID Type / Status
Subject Kapit E361161 entity
Predicate partOf P40 FINISHED
Object Kapit Division E361156 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: Kapit Division | Statement: [Kapit, partOf, Kapit Division]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Kapit Division
Context triple: [Kapit, partOf, Kapit Division]
  • A. Kapit Division chosen
    Kapit Division is an administrative division in the interior of Sarawak, Malaysia, known for its vast rainforest, sparse population, and reliance on river transport.
  • 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. Tieton Division
    Tieton Division is a major irrigation and water management unit within the U.S. Bureau of Reclamation’s Yakima Project in Washington State.
  • D. Boyo Division
    Boyo Division is an administrative area in the Northwest Region of Cameroon, known for its highland terrain and predominantly agrarian communities.
  • E. 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.
  • 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_69d85a06450081909c5a14ea9851a15e completed April 10, 2026, 2:01 a.m.
NER Named-entity recognition batch_69e0059e036c8190959ff3bde8f2356f completed April 15, 2026, 9:39 p.m.
NED1 Entity disambiguation (via context triple) batch_69febfe3fe0081909d9d3a293373254b completed May 9, 2026, 5:02 a.m.
Created at: April 10, 2026, 3:06 a.m.