Triple
T21456059
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Little Harquahala Pumping Plant |
E529339
|
entity |
| Predicate | typeOfEnergyUse |
P5332
|
FINISHED |
| Object | mechanical pumping |
—
|
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: mechanical pumping | Statement: [Little Harquahala Pumping Plant, typeOfEnergyUse, mechanical pumping]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: typeOfEnergyUse Context triple: [Little Harquahala Pumping Plant, typeOfEnergyUse, mechanical pumping]
-
A.
energyUse
Indicates the amount or rate at which an entity consumes energy to perform its functions or activities.
-
B.
electricityUse
Indicates the amount or pattern of electrical energy consumed by an entity during a specified period or activity.
-
C.
energyType
chosen
Indicates the kind or category of energy associated with an entity or process.
-
D.
energyUtilization
Indicates how effectively an entity uses available energy to perform work or sustain its functions.
-
E.
electrificationUsedFor
Indicates that electrification is employed as a means or method to achieve, enable, or support a particular function, process, or purpose.
- 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_69e0c458133481908ae8b41a12c4edec |
completed | April 16, 2026, 11:13 a.m. |
| NER | Named-entity recognition | batch_69e9e9d6da3c819082a495f5434c5554 |
completed | April 23, 2026, 9:43 a.m. |
| PD | Predicate disambiguation | batch_69e631df1b38819088d3604854e697b4 |
completed | April 20, 2026, 2:02 p.m. |
Created at: April 16, 2026, 6:08 p.m.