Triple
T36725599
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Owen Falls Dam |
E907185
|
entity |
| Predicate | nearbyPowerStation |
P144410
|
FINISHED |
| Object | Kiira 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: Kiira Power Station | Statement: [Owen Falls Dam, nearbyPowerStation, Kiira Power Station]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: nearbyPowerStation Context triple: [Owen Falls Dam, nearbyPowerStation, Kiira Power Station]
-
A.
hasNearbyPowerPlants
Indicates that one entity is located close to one or more power plants.
-
B.
hasHVDCConverterStationNearby
Indicates that an entity is located close to a high-voltage direct current (HVDC) converter station.
-
C.
operatorOfNearbyStation
Indicates that an entity operates or manages a station located in close geographic proximity to another referenced entity.
-
D.
otherNearbyStation
chosen
Indicates that one station is located near another station, expressing a spatial proximity relationship between the two.
-
E.
powerLocation
Indicates that an entity’s power, authority, or influence is situated in, originates from, or is exercised within a particular location.
- 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_69f76e746e4c8190a0d05cc6d57a643e |
completed | May 3, 2026, 3:49 p.m. |
| NER | Named-entity recognition | batch_69fef5cf8da881908260ec633830375d |
completed | May 9, 2026, 8:52 a.m. |
| PD | Predicate disambiguation | batch_69fef455e40481909861c82007b79bc0 |
completed | May 9, 2026, 8:46 a.m. |
Created at: May 3, 2026, 4:12 p.m.