Triple
T36895218
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Puchuncaví |
E911871
|
entity |
| Predicate | nearThermoelectricPlant |
P120742
|
FINISHED |
| Object | Ventanas thermoelectric complex |
—
|
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: Ventanas thermoelectric complex | Statement: [Puchuncaví, nearThermoelectricPlant, Ventanas thermoelectric complex]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: nearThermoelectricPlant Context triple: [Puchuncaví, nearThermoelectricPlant, Ventanas thermoelectric complex]
-
A.
hasNearbyPowerPlants
chosen
Indicates that one entity is located close to one or more power plants.
-
B.
hasNuclearPowerPlantNearby
Indicates that an entity is located close to at least one nuclear power plant.
-
C.
powerplantPosition
Indicates the spatial placement or coordinates of a power plant relative to a reference frame or location.
-
D.
powerplantLocation
Indicates that a power plant is situated at or associated with a specific geographic location.
-
E.
powerplant
Indicates that an entity functions as a facility or installation where energy sources are converted into usable power, typically electricity.
- 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_69f76e841b54819097e7fa768bbc70b2 |
completed | May 3, 2026, 3:49 p.m. |
| NER | Named-entity recognition | batch_69f9fd8d3ad08190854b227055102a89 |
completed | May 5, 2026, 2:24 p.m. |
| PD | Predicate disambiguation | batch_69f7cf79ddb08190a083405cccc14137 |
completed | May 3, 2026, 10:43 p.m. |
Created at: May 3, 2026, 4:13 p.m.