Triple

T18946860
Position Surface form Disambiguated ID Type / Status
Subject Itogon E463535 entity
Predicate borderedBy P224 FINISHED
Object Bokod E1079214 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: Bokod | Statement: [Itogon, borderedBy, Bokod]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Bokod
Context triple: [Itogon, borderedBy, Bokod]
  • A. Bokod chosen
    Bokod is a rural municipality in the mountainous province of Benguet in the Philippines, known for its cool climate, scenic landscapes, and agricultural communities.
  • B. Bokaa
    Bokaa is a village in Botswana located within the Kgatleng District, known for its proximity to the Bokaa Dam.
  • C. Bompoka
    Bompoka is a small, remote island that forms part of India’s Nicobar Islands archipelago in the eastern Indian Ocean.
  • D. Boroko
    Boroko is a major residential and commercial suburb of Port Moresby in Papua New Guinea, known for its shopping areas and sports facilities.
  • E. Bokar
    Bokar is a subgroup of the Adi people, an indigenous community of Arunachal Pradesh in Northeast India known for its distinct language and cultural traditions.
  • 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_69d8dcfec90481909e926be9767e5779 completed April 10, 2026, 11:20 a.m.
NER Named-entity recognition batch_69e5d5402ad881908add559249278895 completed April 20, 2026, 7:26 a.m.
NED1 Entity disambiguation (via context triple) batch_6a05dd81ae1481908b5520c2ed0140bc completed May 14, 2026, 2:34 p.m.
Created at: April 10, 2026, 11:59 a.m.