Triple
T17060931
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Bongabon |
E413955
|
entity |
| Predicate | provinceCapital |
P16248
|
FINISHED |
| Object | Palayan |
—
|
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: Palayan | Statement: [Bongabon, provinceCapital, Palayan]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Palayan Context triple: [Bongabon, provinceCapital, Palayan]
-
A.
Palayan City
chosen
Palayan City is a planned component city in the Philippines known for serving as the administrative and governmental center of the province of Nueva Ecija.
-
B.
Balayan
Balayan is a historic coastal municipality in the province of Batangas in the Philippines, known for its heritage houses and annual Parada ng Lechon festival.
-
C.
Dalaguete
Dalaguete is a coastal municipality in the province of Cebu in the Philippines, known for its cool highland areas and vegetable farming.
-
D.
Bayan ng Masinloc
Bayan ng Masinloc is a coastal municipality in the province of Zambales in the Philippines, known for its fishing industry and proximity to the contested Scarborough Shoal in the South China Sea.
-
E.
Malapatan
Malapatan is a coastal municipality in the province of Sarangani in the Philippines, known for its diverse indigenous communities and agricultural economy.
- 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_69d886cde3d481908d4d01ba88ba7eb7 |
completed | April 10, 2026, 5:12 a.m. |
| NER | Named-entity recognition | batch_69e3db7d2dc48190816388570fa31c2e |
completed | April 18, 2026, 7:29 p.m. |
Created at: April 10, 2026, 5:34 a.m.