Triple

T18767154
Position Surface form Disambiguated ID Type / Status
Subject Binga Dam E458921 entity
Predicate locatedIn P40 FINISHED
Object Itogon, Benguet, Philippines NE NERFINISHED

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: Itogon, Benguet, Philippines | Statement: [Binga Dam, locatedIn, Itogon, Benguet, Philippines]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Itogon, Benguet, Philippines
Context triple: [Binga Dam, locatedIn, Itogon, Benguet, Philippines]
  • A. Itogon chosen
    Itogon is a mountainous municipality in Benguet province in the Philippines, known for its mining industry and scenic river valleys.
  • B. Atok, Benguet
    Atok, Benguet is a high-altitude municipality in the Philippines known for its cool climate, mountainous landscapes, and scenic vegetable and flower farms.
  • C. Buguias, Benguet
    Buguias, Benguet is a highland farming municipality in the Philippines’ Cordillera region, known for its vegetable production and cool mountainous climate.
  • D. Bauko, Mountain Province
    Bauko is a municipality in the Mountain Province of the Philippines known for its mountainous terrain, indigenous cultures, and agricultural communities.
  • E. La Trinidad, Benguet
    La Trinidad, Benguet is a highland municipality in the Philippines known as the provincial capital and for its cool climate, strawberry farms, and proximity to Baguio City.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 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_69d8d395dba0819087568404508590cb completed April 10, 2026, 10:40 a.m.
NER Named-entity recognition batch_69e58d859c8081909cec3aa64d264885 completed April 20, 2026, 2:20 a.m.
Created at: April 10, 2026, 11:52 a.m.