Triple

T23320050
Position Surface form Disambiguated ID Type / Status
Subject Ivatan language continuum E591125 entity
Predicate hasDialect P4251 FINISHED
Object Itbayaten 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: Itbayaten | Statement: [Ivatan language continuum, hasDialect, Itbayaten]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Itbayaten
Context triple: [Ivatan language continuum, hasDialect, Itbayaten]
  • A. Itbayaten chosen
    Itbayaten is an Austronesian language spoken by the Itbayat people of the Batanes Islands in the northern Philippines.
  • B. Caibarién
    Caibarién is a coastal town and municipality in central Cuba known historically for its fishing industry and nearby keys.
  • C. Bejucal
    Bejucal is a Cuban town and municipality known for its historic role in the island’s early railway system and its traditional “Charangas de Bejucal” carnival festivities.
  • D. Navezuelas
    Navezuelas is a small rural municipality in the province of Cáceres, Extremadura, Spain, known for its mountainous landscapes within the Villuercas region.
  • E. Bedoya
    Bedoya is a Spanish-language surname of Iberian origin borne by various notable figures in Latin American and Spanish-speaking cultures.
  • 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_69e25d1effe4819096907f95f610dbff completed April 17, 2026, 4:17 p.m.
NER Named-entity recognition batch_69f1978440888190b316664812105d60 completed April 29, 2026, 5:30 a.m.
Created at: April 17, 2026, 5:07 p.m.