Triple
T20885712
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Angat–Ipo–La Mesa water system |
E514273
|
entity |
| Predicate | component |
P35
|
FINISHED |
| Object | Angat Dam |
—
|
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 Dam | Statement: [Angat–Ipo–La Mesa water system, component, Angat Dam]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Angat Dam Context triple: [Angat–Ipo–La Mesa water system, component, Angat Dam]
-
A.
Angat Dam
chosen
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.
-
B.
Bayano Dam
Bayano Dam is a major hydroelectric dam in Panama that impounds the Bayano River to form Bayano Lake and supply power to the country.
-
C.
Pangue Dam
Pangue Dam is a major hydroelectric power facility in Chile, built on the Biobío River to generate electricity and support the country’s energy needs.
-
D.
Macagua Dam
Macagua Dam is a major hydroelectric dam complex in Venezuela that forms part of the Guri–Macagua–Caruachi system generating power from the Caroní River.
-
E.
Nangbeto Dam
Nangbeto Dam is a hydroelectric and irrigation dam on the Mono River in West Africa, jointly developed by Togo and Benin to generate power and support regional water management.
- 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_69e0b4f733f081908a401c0b7beb0b9f |
completed | April 16, 2026, 10:07 a.m. |
| NER | Named-entity recognition | batch_69e6c67c9d1c81908031eb77c124f119 |
completed | April 21, 2026, 12:36 a.m. |
Created at: April 16, 2026, 12:46 p.m.