Triple
T18162021
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | San Pedro, Laguna |
E434788
|
entity |
| Predicate | borderedBy |
P224
|
FINISHED |
| Object | Cabuyao |
—
|
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: Cabuyao | Statement: [San Pedro, Laguna, borderedBy, Cabuyao]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Cabuyao Context triple: [San Pedro, Laguna, borderedBy, Cabuyao]
-
A.
Cabuyao
chosen
Cabuyao is a rapidly developing industrial and residential city in the province of Laguna on the island of Luzon in the Philippines.
-
B.
Mabalacat
Mabalacat is a city in the Philippine province of Pampanga known for hosting part of Clark Freeport and Special Economic Zone, a major commercial and aviation hub.
-
C.
Cabuyao, Laguna
Cabuyao, Laguna is a highly urbanized city in the province of Laguna in the Philippines, known for its industrial estates, residential communities, and proximity to Metro Manila.
-
D.
Pasay City
Pasay City is a highly urbanized city in Metro Manila, Philippines, known for its major commercial centers, entertainment complexes, and proximity to the Ninoy Aquino International Airport.
-
E.
Abucay
Abucay is a coastal municipality in the province of Bataan in the Philippines, known for its historical significance dating back to the Spanish colonial period.
- 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_69d8b90b7a188190b3fc7b8d4a6cd20a |
completed | April 10, 2026, 8:47 a.m. |
| NER | Named-entity recognition | batch_69e4dec32530819099d906640a07e92c |
completed | April 19, 2026, 1:55 p.m. |
Created at: April 10, 2026, 10:30 a.m.