Triple
T14011582
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Benguet |
E337091
|
entity |
| Predicate | contains |
P35
|
FINISHED |
| Object | Itogon |
E463535
|
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: Itogon | Statement: [Benguet, contains, Itogon]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Itogon Context triple: [Benguet, contains, Itogon]
-
A.
Itogon
chosen
Itogon is a mountainous municipality in Benguet province in the Philippines, known for its mining industry and scenic river valleys.
-
B.
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.
-
C.
Nabunturan
Nabunturan is a landlocked municipality in the Philippines known as the administrative and commercial center of the province of Davao de Oro on Mindanao island.
-
D.
Dinalupihan
Dinalupihan is a landlocked municipality in the province of Bataan in the Philippines, known for its agricultural economy and strategic location as a gateway between Central Luzon and the Bataan Peninsula.
-
E.
Ampatuan
Ampatuan is a municipality in the Philippine province of Maguindanao, known for its political clan and association with the 2009 Maguindanao massacre.
- 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_69d81c645c5c8190b1fd16a285a1b78a |
completed | April 9, 2026, 9:38 p.m. |
| NER | Named-entity recognition | batch_69de2ed5cfd0819085b9c860b119a9de |
completed | April 14, 2026, 12:11 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fd324133f8819088c0d80a4e8fb5be |
completed | May 8, 2026, 12:45 a.m. |
Created at: April 9, 2026, 10:19 p.m.