Triple
T28099191
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Itá, Santa Catarina |
E710182
|
entity |
| Predicate | hasHydroelectricProjectNearby |
P144900
|
FINISHED |
| Object | Itá Hydroelectric Power 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: Itá Hydroelectric Power Plant | Statement: [Itá, Santa Catarina, hasHydroelectricProjectNearby, Itá Hydroelectric Power Plant]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasHydroelectricProjectNearby Context triple: [Itá, Santa Catarina, hasHydroelectricProjectNearby, Itá Hydroelectric Power Plant]
-
A.
hasHydroelectricInfrastructureNearby
chosen
Indicates that there is hydroelectric infrastructure located in close proximity to the referenced entity.
-
B.
hasHydroelectricProject
Indicates that an entity is associated with, operates, or contains a hydroelectric power generation project.
-
C.
isHydroelectricProjectOn
Indicates that a hydroelectric project is located on or situated along a specified water body or site.
-
D.
hasNearbyRiverStructure
Indicates that a river-related structure (such as a dam, bridge, or levee) is located close to the referenced entity.
-
E.
hasNearbyWaterInfrastructure
Indicates that a location or entity is situated close to water-related infrastructure such as pipes, treatment facilities, or distribution systems.
- 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_69ef9b70fd108190a875953b2e50ca91 |
completed | April 27, 2026, 5:22 p.m. |
| NER | Named-entity recognition | batch_69f65a6c900881908f18b61273d7bf8d |
completed | May 2, 2026, 8:11 p.m. |
| PD | Predicate disambiguation | batch_69f659ce58408190ba9e007b4810d4d0 |
completed | May 2, 2026, 8:08 p.m. |
Created at: April 27, 2026, 9:04 p.m.