Triple
T8079220
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Batangas |
E188572
|
entity |
| Predicate | hasCity |
P316
|
FINISHED |
| Object | Tanauan |
E432921
|
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: Tanauan | Statement: [Batangas, hasCity, Tanauan]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Tanauan Context triple: [Batangas, hasCity, Tanauan]
-
A.
Tanauan
chosen
Tanauan is a city in the Calabarzon region of the Philippines known for its growing industrial zones and proximity to Metro Manila.
-
B.
Balamban
Balamban is a coastal municipality in the province of Cebu in the Philippines, known for its shipbuilding industry and growing economic zone.
-
C.
Bajo de Masinloc
Bajo de Masinloc is a disputed South China Sea atoll, internationally known as Scarborough Shoal, claimed by both the Philippines and China for its strategic location and rich fishing grounds.
-
D.
Danao
Danao is a coastal city and municipality on Cebu Island in the Philippines known for its historical significance and local industries.
-
E.
Daanbantayan
Daanbantayan is a northern coastal municipality in the Philippine province of Cebu known as a gateway to popular diving and beach destinations like Malapascua Island.
- 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_69ca82b50c708190863f661d438e68df |
completed | March 30, 2026, 2:03 p.m. |
| NER | Named-entity recognition | batch_69cb40a3f01c819096a2c9d5d5199fe6 |
completed | March 31, 2026, 3:33 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69cc63f79ac08190af49e77bee67921d |
completed | April 1, 2026, 12:16 a.m. |
Created at: March 30, 2026, 5:28 p.m.