Triple
T6476800
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Tudor kitchens |
E146091
|
entity |
| Predicate | fuelUsed |
P22119
|
FINISHED |
| Object | wood |
—
|
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: wood | Statement: [Tudor kitchens, fuelUsed, wood]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: fuelUsed Context triple: [Tudor kitchens, fuelUsed, wood]
-
A.
fuelConsumption
Indicates the amount of fuel used by an entity (such as a vehicle or device) over a specified distance, time, or operation.
-
B.
fuelFraction
Indicates the proportion of an object's total mass or capacity that consists of fuel.
-
C.
typicalFuel
chosen
Indicates the kind of fuel that is normally or most commonly used by an entity (such as a device, vehicle, or system).
-
D.
typeOfGasUsed
Indicates the specific kind of gas that is utilized in relation to an entity or process.
-
E.
fuelEfficiency
Indicates how effectively an entity uses fuel to perform a given amount of work or travel a certain distance.
- 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_69c008fec7408190af7b146dc63d9750 |
completed | March 22, 2026, 3:21 p.m. |
| NER | Named-entity recognition | batch_69c06a4ba9588190a965b9e7feb7e598 |
completed | March 22, 2026, 10:16 p.m. |
| PD | Predicate disambiguation | batch_69c0673f6d48819080e10c85155c7195 |
completed | March 22, 2026, 10:03 p.m. |
Created at: March 22, 2026, 4:51 p.m.