Triple

T2613014
Position Surface form Disambiguated ID Type / Status
Subject Ilonggo E58819 entity
Predicate closelyRelatedTo P37 FINISHED
Object Capiznon E110739 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: Capiznon | Statement: [Ilonggo, closelyRelatedTo, Capiznon]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Capiznon
Context triple: [Ilonggo, closelyRelatedTo, Capiznon]
  • A. Capiznon chosen
    Capiznon is an Austronesian language spoken primarily in the province of Capiz on Panay Island in the central Philippines.
  • B. Calvero
    Calvero is the aging, once-famous clown portrayed by Charlie Chaplin in the 1952 film "Limelight," struggling with obscurity and seeking redemption through helping a young dancer.
  • C. Balzar
    Balzar is a town and agricultural center in coastal Ecuador, known for its rice and banana production within Guayas Province.
  • D. Cáqueza
    Cáqueza is a small municipality and town in the Andean region of central Colombia, known for its rural landscapes and proximity to Bogotá in the department of Cundinamarca.
  • E. Panza
    Panza is the surname of Sancho Panza, the loyal squire and comic foil to Don Quixote in Miguel de Cervantes' classic novel.
  • 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_69ab4ac444dc819099614e534dd6021f completed March 6, 2026, 9:44 p.m.
NER Named-entity recognition batch_69abd87c5fec8190a428b94b90265352 completed March 7, 2026, 7:49 a.m.
NED1 Entity disambiguation (via context triple) batch_69af83e816808190aa2c91801fd3c6c7 completed March 10, 2026, 2:37 a.m.
Created at: March 6, 2026, 9:50 p.m.