Triple
T27742066
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | No. 331 Squadron RAF |
E701879
|
entity |
| Predicate | wingAssignment |
P163179
|
FINISHED |
| Object | No. 132 (Norwegian) Wing |
—
|
NE NERFINISHED |
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: No. 132 (Norwegian) Wing | Statement: [No. 331 Squadron RAF, wingAssignment, No. 132 (Norwegian) Wing]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: wingAssignment Context triple: [No. 331 Squadron RAF, wingAssignment, No. 132 (Norwegian) Wing]
-
A.
wingAssignment
chosen
Indicates the specific wing or section of a building or facility that has been assigned to an entity.
-
B.
committeeAssignment
Indicates that an entity is assigned to serve on a particular committee.
-
C.
shipAssignment
Indicates the association between a ship and the specific task, route, or entity it has been assigned to.
-
D.
armyAssignment
Indicates that an entity is assigned to serve in or with a particular army or military unit.
-
E.
allottedTo
Indicates that something has been assigned or allocated to a particular entity as its designated recipient or user.
- 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_69ef6a53c7388190899baa6daf42301c |
completed | April 27, 2026, 1:53 p.m. |
| NER | Named-entity recognition | batch_69f63894e5848190aec428392562ab06 |
completed | May 2, 2026, 5:47 p.m. |
| PD | Predicate disambiguation | batch_69f6370c8c7c8190a02ea82847bb6e76 |
completed | May 2, 2026, 5:40 p.m. |
Created at: April 27, 2026, 4:12 p.m.