Triple
T1234217
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | RAF Scampton |
E26508
|
entity |
| Predicate | closureStatus |
P12551
|
FINISHED |
| Object | closed as an RAF station |
—
|
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: closed as an RAF station | Statement: [RAF Scampton, closureStatus, closed as an RAF station]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: closureStatus Context triple: [RAF Scampton, closureStatus, closed as an RAF station]
-
A.
closureReason
Indicates the reason or cause for which an entity, process, or case has been closed or terminated.
-
B.
closureProcess
Indicates the procedure or set of actions carried out to formally conclude, finalize, or terminate an ongoing activity, case, or process.
-
C.
closedBy
Indicates that one entity performs the action of closing, finishing, or terminating another entity (such as a task, issue, or process).
-
D.
closedUnder
Indicates that applying a specified operation to elements within a set always produces a result that is also an element of that same set.
-
E.
closedDuring
chosen
Indicates that an entity is not open or available for use during a specified time period or under certain conditions.
- 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_69a4948571c88190a9191e451e6035fd |
completed | March 1, 2026, 7:33 p.m. |
| NER | Named-entity recognition | batch_69a4be5d16ec819088056167c88d3318 |
completed | March 1, 2026, 10:31 p.m. |
| PD | Predicate disambiguation | batch_69a4bb65d61c8190bf0424ea0019a98b |
completed | March 1, 2026, 10:19 p.m. |
Created at: March 1, 2026, 7:47 p.m.