Triple
T18201924
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Vulcan Point |
E435809
|
entity |
| Predicate | locatedNear |
P294
|
FINISHED |
| Object | Talisay, Batangas |
—
|
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: Talisay, Batangas | Statement: [Vulcan Point, locatedNear, Talisay, Batangas]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Talisay, Batangas Context triple: [Vulcan Point, locatedNear, Talisay, Batangas]
-
A.
Talisay, Batangas
chosen
Talisay, Batangas is a lakeside municipality in the Philippines known as a primary gateway to Taal Volcano and its scenic crater lake.
-
B.
San Juan, Batangas
San Juan, Batangas is a coastal municipality in the Philippines known for its long beaches, heritage sites, and resorts along the shores of Tayabas Bay.
-
C.
Talisay City
Talisay City is a coastal component city in the province of Cebu in the Philippines, known for its historical significance and proximity to Metro Cebu.
-
D.
Calasiao
Calasiao is a municipality in the Philippine province of Pangasinan known for its historic churches and famous native rice cakes called "puto Calasiao."
-
E.
Batangas City
Batangas City is a major port and industrial hub in the province of Batangas in the Philippines, known for its oil refineries, commercial activity, and role as a gateway to nearby islands.
- 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_69d8b90dba6481908e119eb9aa4ca0cb |
completed | April 10, 2026, 8:47 a.m. |
| NER | Named-entity recognition | batch_69e4e0d71f288190918ca78543118bbe |
completed | April 19, 2026, 2:04 p.m. |
Created at: April 10, 2026, 10:32 a.m.