Triple
T4925828
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Aberthaw Power Station site |
E110572
|
entity |
| Predicate | formerFuelType |
P53857
|
FINISHED |
| Object | coal |
—
|
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: coal | Statement: [Aberthaw Power Station site, formerFuelType, coal]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: formerFuelType Context triple: [Aberthaw Power Station site, formerFuelType, coal]
-
A.
previousFuelType
chosen
Indicates that an entity was formerly associated with or used a specified type of fuel before a change to a different fuel type.
-
B.
fuelForm
Indicates the physical or chemical form in which a fuel exists or is supplied (e.g., liquid, gas, solid).
-
C.
fuelRole
Indicates that one entity serves as the fuel or energy source used or consumed by another entity in a process or operation.
-
D.
typicalFuel
Indicates the kind of fuel that is normally or most commonly used by an entity (such as a device, vehicle, or system).
-
E.
typeOfGasUsed
Indicates the specific kind of gas that is utilized in relation to an entity or process.
- 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_69bd4413f9908190afcff44d7929cc4c |
completed | March 20, 2026, 12:56 p.m. |
| NER | Named-entity recognition | batch_69bd7033c430819088e62f14979aa83c |
completed | March 20, 2026, 4:05 p.m. |
| PD | Predicate disambiguation | batch_69bd6c3695c8819094e7ad2f6d4ba1ac |
completed | March 20, 2026, 3:48 p.m. |
Created at: March 20, 2026, 1:30 p.m.