Triple
T4347818
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | New York Power Authority |
E97946
|
entity |
| Predicate | generatesElectricity |
P5332
|
FINISHED |
| Object | hydroelectric power |
—
|
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 | Statement: [New York Power Authority, generatesElectricity, hydroelectric power]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: generatesElectricity Context triple: [New York Power Authority, generatesElectricity, hydroelectric power]
-
A.
energyType
chosen
Indicates the kind or category of energy associated with an entity or process.
-
B.
powerplantOutput
Indicates the amount of energy or power produced by a power plant over a given period or at a specific moment.
-
C.
powerplantPower
Indicates that a power plant provides or generates a specified amount of electrical power.
-
D.
powerplant
Indicates that an entity functions as a facility or installation where energy sources are converted into usable power, typically electricity.
-
E.
powerplantRole
Indicates that one entity serves in a specific functional or operational role relative to a power plant.
- 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_69b34548402c819085ab68b27c235a87 |
completed | March 12, 2026, 10:59 p.m. |
| NER | Named-entity recognition | batch_69b351a5559c819081608b0aaf6a0e66 |
completed | March 12, 2026, 11:52 p.m. |
| PD | Predicate disambiguation | batch_69b34f4fe1c481908d6d66e15697c04b |
completed | March 12, 2026, 11:42 p.m. |
Created at: March 12, 2026, 11:15 p.m.