Triple

T21096742
Position Surface form Disambiguated ID Type / Status
Subject Alabat Island E519786 entity
Predicate hasMunicipality P847 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 Island, hasMunicipality, Alabat]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Alabat
Context triple: [Alabat Island, hasMunicipality, 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_69e0b508d8dc81909be940dafe36c8f7 completed April 16, 2026, 10:08 a.m.
NER Named-entity recognition batch_69e71b595cdc8190ba7a6f3f71d40c3f completed April 21, 2026, 6:38 a.m.
Created at: April 16, 2026, 2:52 p.m.