Triple
T18002849
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Mount Data |
E430669
|
entity |
| Predicate | locatedNear |
P294
|
FINISHED |
| Object | Buguias, Benguet |
—
|
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: Buguias, Benguet | Statement: [Mount Data, locatedNear, Buguias, Benguet]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Buguias, Benguet Context triple: [Mount Data, locatedNear, Buguias, Benguet]
-
A.
Buguias, Benguet
chosen
Buguias, Benguet is a highland farming municipality in the Philippines’ Cordillera region, known for its vegetable production and cool mountainous climate.
-
B.
Kabayan, Benguet
Kabayan, Benguet is a mountainous municipality in the Philippines known for its rice terraces, cultural heritage, and the famous Kabayan mummy caves.
-
C.
La Trinidad, Benguet
La Trinidad, Benguet is a highland municipality in the Philippines known as the provincial capital and for its cool climate, strawberry farms, and proximity to Baguio City.
-
D.
Atok, Benguet
Atok, Benguet is a high-altitude municipality in the Philippines known for its cool climate, mountainous landscapes, and scenic vegetable and flower farms.
-
E.
Itogon
Itogon is a mountainous municipality in Benguet province in the Philippines, known for its mining industry and scenic river valleys.
- 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_69d8b904530081908bf341d842464856 |
completed | April 10, 2026, 8:47 a.m. |
| NER | Named-entity recognition | batch_69e4b3ea60608190b977644e946407b7 |
completed | April 19, 2026, 10:52 a.m. |
Created at: April 10, 2026, 10:23 a.m.