Triple
T18310362
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Sagbayan Peak |
E438607
|
entity |
| Predicate | locatedIn |
P40
|
FINISHED |
| Object | Sagbayan |
—
|
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: Sagbayan | Statement: [Sagbayan Peak, locatedIn, Sagbayan]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Sagbayan Context triple: [Sagbayan Peak, locatedIn, Sagbayan]
-
A.
Sagbayan
chosen
Sagbayan is a municipality in the province of Bohol in the Philippines, known as one of the viewing points and access towns for the famous Chocolate Hills.
-
B.
Sagayan
Sagayan is a traditional war and healing dance of the Maguindanaon people of the southern Philippines, characterized by colorful costumes, shields, and swords that depict the movements of warriors and spirits.
-
C.
Sagñay
Sagñay is a coastal municipality in the province of Camarines Sur in the Bicol Region of the Philippines, known for its rural communities and natural landscapes.
-
D.
Babatngon
Babatngon is a coastal municipality in the province of Leyte in the Philippines, known for its fishing industry and rural communities.
-
E.
Nasugbu
Nasugbu is a coastal municipality in the province of Batangas, Philippines, known for its beaches, resorts, and agricultural areas.
- 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_69d8b915e3e881909125d760c15d0c29 |
completed | April 10, 2026, 8:47 a.m. |
| NER | Named-entity recognition | batch_69e502180d208190ae7c4f3d0ef3dc55 |
completed | April 19, 2026, 4:26 p.m. |
Created at: April 10, 2026, 10:36 a.m.