Triple
T21975296
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Province of Bulacan |
E542689
|
entity |
| Predicate | hasMunicipality |
P847
|
FINISHED |
| Object | Angat |
—
|
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: Angat | Statement: [Province of Bulacan, hasMunicipality, Angat]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Angat Context triple: [Province of Bulacan, hasMunicipality, Angat]
-
A.
Angat
chosen
Angat is a landlocked municipality in the province of Bulacan in the Philippines, known for its river and proximity to the Angat Dam and watershed area.
-
B.
Angat Dam
Angat Dam is a major concrete water reservoir and hydroelectric facility in Bulacan, Philippines, that supplies much of Metro Manila’s potable water and power.
-
C.
Angat River system
The Angat River system is a major river network in Bulacan, Philippines, that supplies water, hydroelectric power, and irrigation to Metro Manila and surrounding provinces.
-
D.
Bakun
Bakun is a remote mountain municipality in the Philippine province of Benguet known for its rugged landscapes, waterfalls, and hiking trails.
-
E.
Cagayan
Cagayan is a province in the northeastern part of the Philippines known for its agricultural lands, coastal areas, and role as a regional center in Luzon.
- 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.