Triple
T8161837
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Laguna |
E190593
|
entity |
| Predicate | hasCity |
P316
|
FINISHED |
| Object | Biñan |
E430660
|
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: Biñan | Statement: [Laguna, hasCity, Biñan]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Biñan Context triple: [Laguna, hasCity, Biñan]
-
A.
Biñan
chosen
Biñan is a rapidly urbanizing city in the province of Laguna in the Philippines, known for its historical sites, industrial estates, and role as a residential and commercial hub south of Metro Manila.
-
B.
Cainta
Cainta is a highly urbanized municipality in the province of Rizal, Philippines, known as one of the country’s most populous and economically active suburban areas adjacent to Metro Manila.
-
C.
Plaridel, Quezon
Plaridel, Quezon is a coastal municipality in the province of Quezon, Philippines, known for its fishing communities and access to the waters of Lamon Bay.
-
D.
Meycauayan
Meycauayan is a highly urbanized city in the Philippine province of Bulacan known for its jewelry and leather industries.
-
E.
Calauag, Quezon
Calauag, Quezon is a coastal municipality in the province of Quezon, Philippines, known for its fishing industry and location along Lamon Bay.
- 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_69ca82c0ef14819083713f4473dd847c |
completed | March 30, 2026, 2:03 p.m. |
| NER | Named-entity recognition | batch_69cb4556b45c819089eb15ad027b036a |
completed | March 31, 2026, 3:53 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ccbf2c22f0819085c686c005f49486 |
completed | April 1, 2026, 6:46 a.m. |
Created at: March 30, 2026, 5:38 p.m.