Triple
T20069552
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Province of Quezon |
E499696
|
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: [Province of Quezon, hasMunicipality, Alabat]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Alabat Context triple: [Province of Quezon, 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_69da627770948190997f486f9a2e370f |
completed | April 11, 2026, 3:02 p.m. |
| NER | Named-entity recognition | batch_69e664365ad0819089103b00d1cf8c9f |
completed | April 20, 2026, 5:36 p.m. |
Created at: April 11, 2026, 3:39 p.m.