Triple

T22934447
Position Surface form Disambiguated ID Type / Status
Subject Isnag-Isneg E569539 entity
Predicate hasDialects P4251 FINISHED
Object Kabugao Isneg 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: Kabugao Isneg | Statement: [Isnag-Isneg, hasDialects, Kabugao Isneg]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Kabugao Isneg
Context triple: [Isnag-Isneg, hasDialects, Kabugao Isneg]
  • A. Kabugao chosen
    Kabugao is a dialect of the Isnag language spoken by indigenous communities in the northern Philippines.
  • B. Kabugao
    Kabugao is a municipality in the Philippines that serves as the administrative and political center of the province of Apayao.
  • C. Binukawan
    Binukawan is a barangay (village-level administrative division) located in the municipality of Morong in the province of Bataan, Philippines.
  • D. Batiawan
    Batiawan is a rural barangay (village-level administrative unit) of the municipality of Santa Ignacia in the province of Tarlac, Philippines.
  • E. 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.
  • 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_69e24590862c8190858f180ad302adab completed April 17, 2026, 2:37 p.m.
NER Named-entity recognition batch_69f18134484c8190b7311606c17d058d completed April 29, 2026, 3:55 a.m.
Created at: April 17, 2026, 3:44 p.m.