Triple

T14011595
Position Surface form Disambiguated ID Type / Status
Subject Benguet E337091 entity
Predicate ethnicGroup P194 FINISHED
Object Kalanguya E596598 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: Kalanguya | Statement: [Benguet, ethnicGroup, Kalanguya]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Kalanguya
Context triple: [Benguet, ethnicGroup, Kalanguya]
  • A. Kalanguya chosen
    The Kalanguya are an indigenous people of the northern Philippines, traditionally inhabiting the Cordillera and nearby mountain regions and known for their distinct language and upland farming culture.
  • B. Kawkaban
    Kawkaban is a historic fortified mountain town in Yemen renowned for its strategic clifftop location and traditional architecture.
  • C. Kabayan
    Kabayan is a mountainous municipality in the Philippine province of Benguet known for its rice terraces, scenic highland landscapes, and ancient mummified remains.
  • D. Sarangani
    Sarangani is a coastal province in the southern Philippines known for its rich marine biodiversity, tuna industry, and diverse indigenous cultures.
  • E. Kapyong
    Kapyong is a Korean War battlefield in South Korea renowned for a pivotal 1951 engagement in which outnumbered UN forces, including Canadian troops, halted a major Chinese offensive.
  • 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_69d81c645c5c8190b1fd16a285a1b78a completed April 9, 2026, 9:38 p.m.
NER Named-entity recognition batch_69de2ed5cfd0819085b9c860b119a9de completed April 14, 2026, 12:11 p.m.
NED1 Entity disambiguation (via context triple) batch_69fbc32b459c81908b652286f444e940 completed May 6, 2026, 10:39 p.m.
Created at: April 9, 2026, 10:19 p.m.