Triple
T28133371
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Peterhead Prison |
E714127
|
entity |
| Predicate | SASOperation |
P12126
|
FINISHED |
| Object | storming of the prison during 1987 siege |
—
|
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: storming of the prison during 1987 siege | Statement: [Peterhead Prison, SASOperation, storming of the prison during 1987 siege]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: SASOperation Context triple: [Peterhead Prison, SASOperation, storming of the prison during 1987 siege]
-
A.
operationOf
chosen
Indicates that one entity is the function, activity, or process carried out by another entity (such as a system, device, or organization).
-
B.
inOperation
Indicates that an entity (such as a system, device, or facility) is currently active, functioning, and performing its intended operation.
-
C.
programOperation
Indicates an operation or action performed by, within, or upon a program in a computational or procedural context.
-
D.
subOperation
Indicates that one operation functions as a subordinate or component part of another, larger operation.
-
E.
inOperationFrom
Indicates that an entity (such as a facility, service, or system) is actively functioning or available starting from a specified point in time.
- 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_69efd6af156c81908f50c2cd7db0e1ef |
completed | April 27, 2026, 9:35 p.m. |
| NER | Named-entity recognition | batch_69f6412c8c888190aad79df596202306 |
completed | May 2, 2026, 6:23 p.m. |
| PD | Predicate disambiguation | batch_69f63c6a8474819091b8c6fe98e3862d |
completed | May 2, 2026, 6:03 p.m. |
Created at: April 27, 2026, 9:48 p.m.