Triple

T19331266
Position Surface form Disambiguated ID Type / Status
Subject Quirino Province E483499 entity
Predicate hasCapital P204 FINISHED
Object Cabarroguis 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: Cabarroguis | Statement: [Quirino Province, hasCapital, Cabarroguis]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Cabarroguis
Context triple: [Quirino Province, hasCapital, Cabarroguis]
  • A. Cabarroguis chosen
    Cabarroguis is a municipality in the Philippines that serves as the administrative and political center of the province of Quirino.
  • B. Guinobatan
    Guinobatan is a municipality in the province of Albay in the Bicol Region of the Philippines, known for its rural landscapes and proximity to Mayon Volcano.
  • C. Pinoso
    Pinoso is a municipality in the province of Alicante, Spain, known for its wine production, marble quarries, and traditional rural character.
  • D. Puerto Casado
    Puerto Casado is a small river port town in northern Paraguay known historically for its tannin industry and its strategic location on the Paraguay River.
  • E. Agoncillo
    Agoncillo is a lakeside municipality in the Philippine province of Batangas known for its proximity to Taal Lake and Taal Volcano.
  • 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_69d8e8d13e3c81909d91d1d5ec37c095 completed April 10, 2026, 12:10 p.m.
NER Named-entity recognition batch_69e616422fa08190bf4bde4312ec7cf3 completed April 20, 2026, 12:04 p.m.
Created at: April 10, 2026, 1:33 p.m.