Triple
T24262168
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Colbún, Chile |
E604734
|
entity |
| Predicate | hasNearbyHydroelectricPlant |
P144900
|
FINISHED |
| Object | Colbún Hydroelectric Plant |
—
|
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: Colbún Hydroelectric Plant | Statement: [Colbún, Chile, hasNearbyHydroelectricPlant, Colbún Hydroelectric Plant]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasNearbyHydroelectricPlant Context triple: [Colbún, Chile, hasNearbyHydroelectricPlant, Colbún Hydroelectric Plant]
-
A.
hasHydroelectricInfrastructureNearby
chosen
Indicates that there is hydroelectric infrastructure located in close proximity to the referenced entity.
-
B.
hasNearbyPowerPlants
Indicates that one entity is located close to one or more power plants.
-
C.
hasHydropowerRoleIn
Indicates that an entity plays a specific role or function related to hydropower within the context of another entity, project, or activity.
-
D.
hasHydroelectricProject
Indicates that an entity is associated with, operates, or contains a hydroelectric power generation project.
-
E.
isHydroelectricallyDeveloped
Indicates that an entity has been developed to generate electricity using hydropower infrastructure or facilities.
- 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_69e29544c29c8190b023606eafe5d36a |
completed | April 17, 2026, 8:17 p.m. |
| NER | Named-entity recognition | batch_69f28c6727388190862e3ce09c372c70 |
completed | April 29, 2026, 10:55 p.m. |
| PD | Predicate disambiguation | batch_69f1c450aa508190bc9d372a5f6ee47a |
completed | April 29, 2026, 8:41 a.m. |
Created at: April 18, 2026, 12:06 a.m.