Triple
T24062261
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Brayton Point Power Station |
E595985
|
entity |
| Predicate | demolitionOfCoolingTowers |
P132139
|
FINISHED |
| Object | April 2019 |
—
|
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: April 2019 | Statement: [Brayton Point Power Station, demolitionOfCoolingTowers, April 2019]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: demolitionOfCoolingTowers Context triple: [Brayton Point Power Station, demolitionOfCoolingTowers, April 2019]
-
A.
towerDemolishedIn
chosen
Indicates that a tower was demolished at, or during an event occurring in, a specified location or time.
-
B.
demolishedWith
Indicates that one entity was destroyed or torn down using another specified tool, method, or agent.
-
C.
mostStructuresDemolished
Indicates that the subject is the entity responsible for demolishing the greatest number of structures within a given context or set.
-
D.
demolishedAsResultOf
Indicates that one entity was demolished as a direct consequence or outcome of another event, action, or condition.
-
E.
demolishedOriginalStructures
Indicates that one entity has completely destroyed or removed the original structures 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_69e288c25c008190850cf447940ab181 |
completed | April 17, 2026, 7:23 p.m. |
| NER | Named-entity recognition | batch_69f1da5735cc81908f22e2a20b4c1c90 |
completed | April 29, 2026, 10:15 a.m. |
| PD | Predicate disambiguation | batch_69f1764b1d4c8190b12590c6339c31c1 |
completed | April 29, 2026, 3:08 a.m. |
Created at: April 17, 2026, 10:38 p.m.