Triple

T12504876
Position Surface form Disambiguated ID Type / Status
Subject Quirino E298921 entity
Predicate hasMunicipality P847 FINISHED
Object Aglipay E206367 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: Aglipay | Statement: [Quirino, hasMunicipality, Aglipay]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Aglipay
Context triple: [Quirino, 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. 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.
  • D. Alapini
    Alapini is a high-ranking traditional chief in the Oyo Empire, serving as one of the key members of the Oyo Mesi council that advises and checks the power of the Alaafin (king).
  • E. Apalit
    Apalit is a municipality in the province of Pampanga in the Philippines, known for its religious festivals and riverside communities along the Pampanga River.
  • 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_69d6ada4cd388190ae3bbf83ff87057a completed April 8, 2026, 7:33 p.m.
NER Named-entity recognition batch_69d94dfddf38819099263b8b1e804736 completed April 10, 2026, 7:22 p.m.
NED1 Entity disambiguation (via context triple) batch_69f64bb5af708190b3786da334c3bf23 completed May 2, 2026, 7:08 p.m.
Created at: April 8, 2026, 9:57 p.m.