Triple
T303319
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Hoover Dam |
E6243
|
entity |
| Predicate | annualGeneration |
P7997
|
FINISHED |
| Object | about 4 TWh to 5 TWh |
—
|
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: about 4 TWh to 5 TWh | Statement: [Hoover Dam, annualGeneration, about 4 TWh to 5 TWh]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: annualGeneration Context triple: [Hoover Dam, annualGeneration, about 4 TWh to 5 TWh]
-
A.
annualFrom
Indicates that something recurs or is calculated on a yearly basis starting from a specified point in time.
-
B.
energyUse
Indicates the amount or rate at which an entity consumes energy to perform its functions or activities.
-
C.
totalProduction
chosen
Indicates the overall quantity of goods, services, or output produced by an entity or system over a specified period or within a defined scope.
-
D.
energyType
Indicates the kind or category of energy associated with an entity or process.
-
E.
generationCount
Indicates the number of times a process, entity, or version has been created, iterated, or regenerated within a sequence or lifecycle.
- 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_69a2e79230508190b912ecb555aae17e |
completed | Feb. 28, 2026, 1:03 p.m. |
| NER | Named-entity recognition | batch_69a2ea2fba548190a5aeb1597dca96bd |
completed | Feb. 28, 2026, 1:14 p.m. |
| PD | Predicate disambiguation | batch_69a2e93c367881908d3f6e2b81d44d7f |
completed | Feb. 28, 2026, 1:10 p.m. |
Created at: Feb. 28, 2026, 1:06 p.m.