Triple

T21501951
Position Surface form Disambiguated ID Type / Status
Subject Quezon Province E530495 entity
Predicate hasMunicipality P847 FINISHED
Object Panukulan 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: Panukulan | Statement: [Quezon Province, hasMunicipality, Panukulan]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Panukulan
Context triple: [Quezon Province, hasMunicipality, Panukulan]
  • A. Panukulan chosen
    Panukulan is a coastal municipality located on Polillo Island in the province of Quezon, Philippines, known for its rural communities and fishing-based local economy.
  • B. Panadtaran
    Panadtaran is a barangay (village-level administrative division) of the municipality of Argao in Cebu, Philippines.
  • C. Pakurumo
    Pakurumo is a popular Afrobeat song by Nigerian artist Wizkid, known for its upbeat rhythm and dance-friendly vibe.
  • D. Parkano
    Parkano is a small town and municipality in the Pirkanmaa region of western Finland, known for its forests, lakes, and position along key transport routes.
  • E. Bompoka
    Bompoka is a small, remote island that forms part of India’s Nicobar Islands archipelago in the eastern Indian Ocean.
  • 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_69e0c45bd15481909fba5910765cdda2 completed April 16, 2026, 11:13 a.m.
NER Named-entity recognition batch_69e9ea5d209881908754eb07a47e478a completed April 23, 2026, 9:46 a.m.
Created at: April 16, 2026, 6:24 p.m.