Triple

T19898774
Position Surface form Disambiguated ID Type / Status
Subject Cagayan Province E478223 entity
Predicate hasMunicipality P847 FINISHED
Object Claveria 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: Claveria | Statement: [Cagayan Province, hasMunicipality, Claveria]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Claveria
Context triple: [Cagayan Province, hasMunicipality, Claveria]
  • A. Claveria
    Claveria is a coastal municipality in the Philippines known for its location along Macajalar Bay in Northern Mindanao.
  • B. Claveria
    Claveria is a coastal municipality in the Philippine province of Masbate known for its fishing communities and rural island landscapes.
  • C. Claveria chosen
    Claveria is a coastal municipality in the province of Cagayan in the Philippines, known for its scenic beaches and fishing communities along the Luzon Strait.
  • D. Gorospe
    Gorospe is a Basque surname most notably associated with Spanish former professional cyclist Julián Gorospe.
  • E. Bucoda
    Bucoda is a small town in Thurston County, Washington, known for its historic coal-mining roots and its claim as the "World's Tiniest Town with the Biggest Halloween Spirit."
  • 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_69d8e520682081909892916424699bd5 completed April 10, 2026, 11:55 a.m.
NER Named-entity recognition batch_69e6593fbb348190afa7acf45af406ed completed April 20, 2026, 4:50 p.m.
Created at: April 10, 2026, 1:52 p.m.