Triple
T25772663
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Electricity Building |
E649063
|
entity |
| Predicate | powerSystemUsed |
P21522
|
FINISHED |
| Object | direct current |
—
|
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: direct current | Statement: [Electricity Building, powerSystemUsed, direct current]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: powerSystemUsed Context triple: [Electricity Building, powerSystemUsed, direct current]
-
A.
electricityUse
Indicates the amount or pattern of electrical energy consumed by an entity during a specified period or activity.
-
B.
electricalPower
Indicates that one entity supplies, carries, or is associated with electrical power to or for another entity.
-
C.
poweringSystem
Indicates that one entity serves as the source of power or energy that enables the operation or functioning of another entity.
-
D.
usesElectricityFor
Indicates that one entity relies on or employs electricity as the power source to operate, perform a function, or carry out an activity for another entity or purpose.
-
E.
typeOfElectricity
chosen
Indicates that one entity specifies the particular kind or category of electricity associated with another entity.
- 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_69e7ab333b508190b6d708d8d9a328ed |
completed | April 21, 2026, 4:52 p.m. |
| NER | Named-entity recognition | batch_69f60c3b09488190ade1b69ff7f0df0e |
completed | May 2, 2026, 2:37 p.m. |
| PD | Predicate disambiguation | batch_69f60b8461ac81908c5bd3d73eed59f4 |
completed | May 2, 2026, 2:34 p.m. |
Created at: April 22, 2026, 5:31 a.m.