Triple
T25117064
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Inga Falls |
E629156
|
entity |
| Predicate | energyInfrastructureNearby |
P120742
|
FINISHED |
| Object | Inga I Hydroelectric Power Station |
—
|
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: Inga I Hydroelectric Power Station | Statement: [Inga Falls, energyInfrastructureNearby, Inga I Hydroelectric Power Station]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: energyInfrastructureNearby Context triple: [Inga Falls, energyInfrastructureNearby, Inga I Hydroelectric Power Station]
-
A.
infrastructureNearby
Indicates that one entity is located close to another entity that serves as infrastructure (such as roads, utilities, or public facilities).
-
B.
hasNearbyPowerPlants
chosen
Indicates that one entity is located close to one or more power plants.
-
C.
nearbyGasFields
Indicates that one gas field is located close to another gas field in geographic space.
-
D.
nearbyOilField
Indicates that one location is situated close to an oil field.
-
E.
nearbyGasField
Indicates that one entity is located close to a gas field associated with the other entity.
- 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_69e2ff3169d08190973b6061d5009abd |
completed | April 18, 2026, 3:49 a.m. |
| NER | Named-entity recognition | batch_69f48b9b687881908fd87a2f5fa0b1e7 |
completed | May 1, 2026, 11:16 a.m. |
| PD | Predicate disambiguation | batch_69f48060597c8190a4414e4e4fcb1fec |
completed | May 1, 2026, 10:28 a.m. |
Created at: April 18, 2026, 6:27 a.m.