Triple

T23175165
Position Surface form Disambiguated ID Type / Status
Subject Kankana-ey E578975 entity
Predicate neighboringLanguage P16383 FINISHED
Object Ibaloy 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: Ibaloy | Statement: [Kankana-ey, neighboringLanguage, Ibaloy]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Ibaloy
Context triple: [Kankana-ey, neighboringLanguage, Ibaloy]
  • A. Ibaloy chosen
    The Ibaloy are an indigenous ethnolinguistic group of the Cordillera region in the northern Philippines, known for their rice terracing, rich oral traditions, and distinct cultural practices.
  • B. Lukbán
    Lukbán is a Filipino surname most notably associated with Vicente Lukbán, a revolutionary general and leader during the Philippine struggle against Spanish and American colonial rule.
  • C. Guinsiliban
    Guinsiliban is a coastal municipality on the island-province of Camiguin in the Philippines, known for its rural communities and proximity to volcanic landscapes and marine attractions.
  • D. Batiawan
    Batiawan is a rural barangay (village-level administrative unit) of the municipality of Santa Ignacia in the province of Tarlac, Philippines.
  • E. Marawila
    Marawila is a coastal town in Sri Lanka known for its beaches, fishing community, and tourism-oriented resorts.
  • 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_69e245fd2a388190b814c0dfa15f7148 completed April 17, 2026, 2:38 p.m.
NER Named-entity recognition batch_69f18f69cb1881909e0f47d3b32e2cb1 completed April 29, 2026, 4:56 a.m.
Created at: April 17, 2026, 4:04 p.m.