Triple
T21975312
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Province of Bulacan |
E542689
|
entity |
| Predicate | hasMunicipality |
P847
|
FINISHED |
| Object | Pulilan |
—
|
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: Pulilan | Statement: [Province of Bulacan, hasMunicipality, Pulilan]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Pulilan Context triple: [Province of Bulacan, hasMunicipality, Pulilan]
-
A.
Pulilan
chosen
Pulilan is a municipality in the province of Bulacan in the Philippines, known for its agricultural economy and the annual Kneeling Carabao Festival honoring San Isidro Labrador.
-
B.
Dipaculao
Dipaculao is a coastal municipality in the Philippine province of Aurora known for its beaches, surfing spots, and scenic mountain landscapes.
-
C.
Nabunturan
Nabunturan is a landlocked municipality in the Philippines known as the administrative and commercial center of the province of Davao de Oro on Mindanao island.
-
D.
Bansalan
Bansalan is a municipality in the province of Davao del Sur in the Philippines, known for its agricultural economy and rural communities.
-
E.
Narvacan
Narvacan is a coastal municipality in the province of Ilocos Sur in the Philippines, known for its historic churches, scenic beaches, and wind-swept landscapes.
- 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_69e0c48070988190909db97667b9a0ac |
completed | April 16, 2026, 11:14 a.m. |
| NER | Named-entity recognition | batch_69f12487a1a88190abb8a51fcd533b6a |
completed | April 28, 2026, 9:20 p.m. |
Created at: April 16, 2026, 8:03 p.m.