Triple
T18311452
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Misiones Department |
E438633
|
entity |
| Predicate | hasPowerInfrastructureNearby |
P124983
|
FINISHED |
| Object | hydroelectric power plant |
—
|
LITERAL FINISHED |
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: hydroelectric power plant | Statement: [Misiones Department, hasPowerInfrastructureNearby, hydroelectric power plant]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasPowerInfrastructureNearby Context triple: [Misiones Department, hasPowerInfrastructureNearby, hydroelectric power plant]
-
A.
hasNearbyPowerPlants
Indicates that one entity is located close to one or more power plants.
-
B.
hasNearbyInfrastructureType
chosen
Indicates that an entity is located close to infrastructure of a specified type.
-
C.
hasNearbyWaterInfrastructure
Indicates that a location or entity is situated close to water-related infrastructure such as pipes, treatment facilities, or distribution systems.
-
D.
hasNuclearPowerPlantNearby
Indicates that an entity is located close to at least one nuclear power plant.
-
E.
hasNearbyFacility
Indicates that one entity is located close to or in the vicinity of a particular facility.
- 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_69d8b915e3e881909125d760c15d0c29 |
completed | April 10, 2026, 8:47 a.m. |
| NER | Named-entity recognition | batch_69e50219cd548190b8da5f402d5da773 |
completed | April 19, 2026, 4:26 p.m. |
| PD | Predicate disambiguation | batch_69e44fdf43d08190bbcfb6b1fe3cc0ee |
completed | April 19, 2026, 3:45 a.m. |
Created at: April 10, 2026, 10:36 a.m.