Triple

T5615579
Position Surface form Disambiguated ID Type / Status
Subject Manobo languages E147468 entity
Predicate hasSubgroup P747 FINISHED
Object Binukid E236289 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: Binukid | Statement: [Manobo languages, hasSubgroup, Binukid]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Binukid
Context triple: [Manobo languages, hasSubgroup, Binukid]
  • A. Binukid chosen
    Binukid is an Austronesian language of the Manobo people in the Philippines, primarily used in the Bukidnon highlands of Mindanao.
  • B. Himamaylan
    Himamaylan is a coastal component city in the southern part of Negros Occidental in the Philippines, known historically as one of the province’s older settlements.
  • C. Binalong
    Binalong is a small rural village in New South Wales, Australia, known for its historic buildings and pastoral surroundings.
  • D. 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.
  • E. Maljamar
    Maljamar is a small unincorporated community in southeastern New Mexico known historically for its oil and gas activity.
  • 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_69c00905d4588190bd967842bbcf2219 completed March 22, 2026, 3:21 p.m.
NER Named-entity recognition batch_69c021d8d600819097df4e265e262d90 completed March 22, 2026, 5:07 p.m.
NED1 Entity disambiguation (via context triple) batch_69c05a0ab9cc8190a01c5309e6cfc598 completed March 22, 2026, 9:07 p.m.
Created at: March 22, 2026, 3:39 p.m.