Triple

T19331287
Position Surface form Disambiguated ID Type / Status
Subject Quirino Province E483499 entity
Predicate hasMunicipality P847 FINISHED
Object Aglipay 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: Aglipay | Statement: [Quirino Province, hasMunicipality, Aglipay]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Aglipay
Context triple: [Quirino Province, hasMunicipality, Aglipay]
  • A. Aglipay chosen
    Aglipay is a Filipino surname most notably associated with Gregorio Aglipay, the nationalist priest who founded the Philippine Independent Church.
  • B. Supay
    Supay is a deity from Andean mythology commonly associated with the underworld and the spirits of the dead.
  • C. Nagadipa
    Nagadipa is a small but significant Buddhist pilgrimage island in northern Sri Lanka, revered as one of the country’s sixteen holiest Buddhist sites.
  • D. Aparri
    Aparri is a coastal municipality in the province of Cagayan in the Philippines, known historically as a major port and fishing town at the mouth of the Cagayan River.
  • E. Apatin
    Apatin is a town and municipality in the Vojvodina region of northern Serbia, situated on the banks of the Danube River.
  • 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.