Triple
T37744350
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Angat Dam |
E940804
|
entity |
| Predicate | affectsWatershed |
P90970
|
FINISHED |
| Object | Angat Watershed |
—
|
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 Watershed | Statement: [Angat Dam, affectsWatershed, Angat Watershed]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: affectsWatershed Context triple: [Angat Dam, affectsWatershed, Angat Watershed]
-
A.
affectsWaterBody
chosen
Indicates that one entity has an impact on the condition, quality, or state of a water body.
-
B.
basinAffectedBy
Indicates that a basin is influenced or impacted by another entity, process, or event.
-
C.
hasWatershed
Indicates that one geographic area or feature is part of, drains into, or is hydrologically defined by a particular watershed.
-
D.
watershedType
Indicates the classification or category of a watershed associated with an entity (e.g., by hydrologic, ecological, or management type).
-
E.
hasProtectedWatershed
Indicates that an entity possesses or is associated with a watershed area that is legally or formally protected for conservation or resource management purposes.
- F. None of above.
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_69f76ee0e32c8190b40a3b4cf590337c |
completed | May 3, 2026, 3:50 p.m. |
| NER | Named-entity recognition | batch_69fccdd496048190bca801a8a9eecb62 |
completed | May 7, 2026, 5:37 p.m. |
| PD | Predicate disambiguation | batch_69fcccee6240819084680887731ff64b |
completed | May 7, 2026, 5:33 p.m. |
Created at: May 3, 2026, 4:19 p.m.