Triple
T25598110
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Leesville Lake |
E641710
|
entity |
| Predicate | hasPowerFunction |
P167718
|
FINISHED |
| Object | peaking power generation |
—
|
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: peaking power generation | Statement: [Leesville Lake, hasPowerFunction, peaking power generation]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasPowerFunction Context triple: [Leesville Lake, hasPowerFunction, peaking power generation]
-
A.
hasPower
Indicates that one entity possesses authority, control, or influence over another entity or over a particular domain or resource.
-
B.
hasPowerBase
Indicates that an entity derives support, influence, or authority from a particular group, location, or resource that serves as its primary base of power.
-
C.
hasPowerTerminal
Indicates that an entity is equipped with or connected to a power terminal through which electrical power can be supplied or distributed.
-
D.
usesPowerFor
Indicates that one entity applies or exploits a particular power, energy, or capability for a specific purpose or activity.
-
E.
hasNumberOfPowers
Indicates the quantity of distinct powers or abilities that an entity possesses.
- F. None of above. chosen
Provenance (4 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_69e75dc60d108190b7e2419e36b0134b |
completed | April 21, 2026, 11:21 a.m. |
| NER | Named-entity recognition | batch_69f66cf092c881908d7034c9c2bc61d5 |
completed | May 2, 2026, 9:30 p.m. |
| PD | Predicate disambiguation | batch_69f66abddc448190a488852f8abdeb2c |
completed | May 2, 2026, 9:21 p.m. |
| PDg | Predicate description generation | batch_69f66c59de9881909ebbb7b0ae7ab495 |
completed | May 2, 2026, 9:27 p.m. |
Created at: April 21, 2026, 4:29 p.m.