Triple
T13280627
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Fiddlers Ferry Power Station |
E316310
|
entity |
| Predicate | coolingTowerType |
P35301
|
FINISHED |
| Object | natural draft |
—
|
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: natural draft | Statement: [Fiddlers Ferry Power Station, coolingTowerType, natural draft]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: coolingTowerType Context triple: [Fiddlers Ferry Power Station, coolingTowerType, natural draft]
-
A.
hasCoolingTowerType
chosen
Indicates that an entity is associated with, or equipped with, a specific type or category of cooling tower.
-
B.
hasCoolingTowers
Indicates that an entity possesses or is equipped with one or more cooling towers as part of its infrastructure or system.
-
C.
coolingMethod
Indicates the technique or process used to remove heat from something or keep it at a lower temperature.
-
D.
coolingRequirement
Indicates that an entity requires or is subject to a specific amount or type of cooling to operate within acceptable conditions.
-
E.
boilerType
Indicates the specific kind or category of boiler associated with an entity, such as its design, fuel source, or operating characteristics.
- 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_69d806b349908190a9a61dd9323bf153 |
completed | April 9, 2026, 8:06 p.m. |
| NER | Named-entity recognition | batch_69d99cfdc9388190af1fdd3cd4717bd8 |
completed | April 11, 2026, 12:59 a.m. |
| PD | Predicate disambiguation | batch_69d98f6535688190a5a4549b7be2d611 |
completed | April 11, 2026, 12:01 a.m. |
Created at: April 9, 2026, 9:27 p.m.