Triple

T21295797
Position Surface form Disambiguated ID Type / Status
Subject Alabat, Quezon E524917 entity
Predicate subdivisionName P747 FINISHED
Object Alabat 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: Alabat | Statement: [Alabat, Quezon, subdivisionName, Alabat]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Alabat
Context triple: [Alabat, Quezon, subdivisionName, Alabat]
  • A. Alabat Island chosen
    Alabat Island is a Philippine island in Quezon province known for its coastal communities, coconut farming, and location along Lamon Bay in the Pacific.
  • B. Balaoan
    Balaoan is a coastal municipality in the province of La Union in the Philippines, known for its agriculture, beaches, and local festivals.
  • C. Palauig
    Palauig is a coastal municipality in the province of Zambales in the Philippines, known as the gateway to the scenic Mount Tapulao and nearby island attractions.
  • D. Sibuyan Island
    Sibuyan Island is a largely forested Philippine island in the Romblon province, renowned for its high endemism and the Mount Guiting-Guiting Natural Park.
  • E. Bauan
    Bauan is a coastal municipality in the province of Batangas in the Philippines, known for its diving spots, marine sanctuaries, and industrial facilities.
  • 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_69e0b517e6748190850d6f6ddf323d69 completed April 16, 2026, 10:08 a.m.
NER Named-entity recognition batch_69e7385858ec8190bdc9c5cdcb8d4507 completed April 21, 2026, 8:42 a.m.
Created at: April 16, 2026, 4:04 p.m.