Triple

T15120441
Position Surface form Disambiguated ID Type / Status
Subject Kapit Division E361156 entity
Predicate hasSettlement P1068 FINISHED
Object Kapit E361158 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 | Statement: [Kapit Division, hasSettlement, Kapit]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Kapit
Context triple: [Kapit Division, hasSettlement, Kapit]
  • A. Kapit chosen
    Kapit is a remote riverside town and administrative center in Sarawak, Malaysia, known historically as a trading post accessible mainly by boat along the Rajang River.
  • B. Kaptel
    Kaptel is a dialect of the Tedim Chin language spoken by a subset of the Tedim Chin people.
  • C. Kapaa
    Kapaa is a coastal town on the east side of Kauai, Hawaii, known for its beaches, resorts, and small-town atmosphere.
  • D. Kapsali
    Kapsali is a coastal village and harbor on the Greek island of Kythira, known for its scenic twin bays, beaches, and views of the island’s main town above.
  • E. Kaps
    Kaps is a small rural village located in Armenia’s Shirak Province.
  • 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.