Triple
T14615761
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Tumut 3 Power Station |
E343080
|
entity |
| Predicate | hasPumpedStorage |
P4607
|
FINISHED |
| Object | yes |
—
|
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: yes | Statement: [Tumut 3 Power Station, hasPumpedStorage, yes]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasPumpedStorage Context triple: [Tumut 3 Power Station, hasPumpedStorage, yes]
-
A.
hasPenstocks
Indicates that an entity is equipped with or contains one or more penstocks (conduits or pipes used to convey water, typically in hydraulic or hydroelectric systems).
-
B.
hasMajorReservoir
Indicates that an entity possesses or is associated with a primary or significant reservoir (such as a large storage or accumulation of a resource).
-
C.
hasPumpingStation
Indicates that one entity possesses, contains, or is served by a pumping station associated with it.
-
D.
storesEnergyAs
chosen
Indicates that one entity retains or accumulates energy in the form or medium specified by another entity.
-
E.
hydroelectricStationCapacity
Indicates the maximum amount of electrical power that a hydroelectric station is capable of producing under specified conditions.
- 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_69d822dec68081908c2553145c4051dc |
completed | April 9, 2026, 10:06 p.m. |
| NER | Named-entity recognition | batch_69deb46439b88190a4affcc7ccedab6b |
completed | April 14, 2026, 9:40 p.m. |
| PD | Predicate disambiguation | batch_69de656f9f4c81909f815b6629a9ee39 |
completed | April 14, 2026, 4:03 p.m. |
Created at: April 10, 2026, 1:25 a.m.