Triple
T4242209
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Mount Pulag |
E95439
|
entity |
| Predicate | locatedIn |
P40
|
FINISHED |
| Object | Benguet |
E337091
|
NE FINISHED |
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: Benguet | Statement: [Mount Pulag, locatedIn, Benguet]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Benguet Context triple: [Mount Pulag, locatedIn, Benguet]
-
A.
Benguet
chosen
Benguet is a landlocked province in the northern Philippines known for its cool climate, mountainous terrain, and vegetable and strawberry farms centered around the city of Baguio.
-
B.
Apayao
Apayao is a landlocked, mountainous province in the northern Philippines known for its rich indigenous culture, forests, and river systems.
-
C.
Lanao del Norte
Lanao del Norte is a province in the Philippines located in the Northern Mindanao region, known for its coastal landscapes along Iligan Bay and diverse cultural communities.
-
D.
Ilocos Sur
Ilocos Sur is a coastal province in northwestern Luzon, Philippines, known for its well-preserved Spanish colonial architecture and the heritage city of Vigan.
-
E.
Zambales
Zambales is a coastal province in the Central Luzon region of the Philippines, known for its beaches, mangoes, and ethnolinguistic diversity.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (3 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_69b3453d91548190b4d4ef8fe52aa2ac |
completed | March 12, 2026, 10:59 p.m. |
| NER | Named-entity recognition | batch_69b34e891bc08190831187da4f553f48 |
completed | March 12, 2026, 11:38 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b5a872fd6881908a3fbe37e7c35c92 |
completed | March 14, 2026, 6:26 p.m. |
Created at: March 12, 2026, 11:05 p.m.