Triple
T17823786
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Magat River |
E445058
|
entity |
| Predicate | hasDam |
P8736
|
FINISHED |
| Object | Magat 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: Magat Dam | Statement: [Magat River, hasDam, Magat Dam]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Magat Dam Context triple: [Magat River, hasDam, Magat Dam]
-
A.
Magat Dam
chosen
Magat Dam is a large multipurpose rock-fill dam in the Philippines that provides hydroelectric power, irrigation, and flood control for the Cagayan Valley region.
-
B.
Ambuklao Dam
Ambuklao Dam is a major hydroelectric and flood-control dam in Benguet, Philippines, known as one of the country’s earliest large-scale hydropower projects.
-
C.
Malpaso Dam
Malpaso Dam is a major hydroelectric dam in Chiapas, Mexico, forming one of the country’s largest reservoirs and playing a key role in national power generation and flood control.
-
D.
Saguling Dam
Saguling Dam is a major hydroelectric and multipurpose dam in West Java, Indonesia, forming one of the key reservoirs on the Citarum 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_69d8b9f0de78819099395b14db75a8a6 |
completed | April 10, 2026, 8:50 a.m. |
| NER | Named-entity recognition | batch_69e4891282a081908d384d45bf444baf |
completed | April 19, 2026, 7:49 a.m. |
Created at: April 10, 2026, 10:15 a.m.