Triple
T3908638
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Bulacan |
E87267
|
entity |
| Predicate | hasMunicipality |
P847
|
FINISHED |
| Object | Bocaue |
E147181
|
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: Bocaue | Statement: [Bulacan, hasMunicipality, Bocaue]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Bocaue Context triple: [Bulacan, hasMunicipality, Bocaue]
-
A.
Bocaue, Bulacan
chosen
Bocaue, Bulacan is a municipality in the province of Bulacan in the Philippines, known for its religious festivals and as the site of major venues such as the Philippine Arena.
-
B.
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.
-
C.
Canlaon
Canlaon is a city in the Philippines known for its proximity to Mount Kanlaon, an active volcano and prominent natural landmark on Negros Island.
-
D.
Baguio
Baguio is a mountain resort city in the Philippines known for its cool climate, pine forests, and role as the country's "Summer Capital."
-
E.
Kabankalan
Kabankalan is a major inland city in the province of Negros Occidental in the Philippines, known as a commercial and agricultural hub in the southern part of the 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_69aed9424514819086e9c58adde6652d |
completed | March 9, 2026, 2:29 p.m. |
| NER | Named-entity recognition | batch_69aeed13bb14819096842c6c82342524 |
completed | March 9, 2026, 3:53 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b5d044ec6c81909e2abcb8c429045a |
completed | March 14, 2026, 9:16 p.m. |
Created at: March 9, 2026, 3:22 p.m.