Triple
T13049157
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | No. 149 Squadron RAF |
E327402
|
entity |
| Predicate | branchSpecialisation |
P89408
|
FINISHED |
| Object | heavy bomber operations |
—
|
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: heavy bomber operations | Statement: [No. 149 Squadron RAF, branchSpecialisation, heavy bomber operations]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: branchSpecialisation Context triple: [No. 149 Squadron RAF, branchSpecialisation, heavy bomber operations]
-
A.
branchSpecialization
chosen
Indicates that one branch or subdivision is specialized or focused in a particular area, function, or domain relative to others.
-
B.
branchSpecific
Indicates that something is associated with, restricted to, or applicable only within a particular branch or subdivision of a larger organization or structure.
-
C.
regionSpecialization
Indicates that a region is designated or recognized as being particularly focused on, adapted to, or specialized in a specific function, activity, or domain.
-
D.
trainedBranch
Indicates that one entity has provided training or instruction to a specific branch or subdivision of another entity.
-
E.
isSpecializedFor
Indicates that one entity is specifically adapted, designed, or focused to perform optimally for a particular function, context, or domain 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_69d8076e64308190904fb5c93517c901 |
completed | April 9, 2026, 8:09 p.m. |
| NER | Named-entity recognition | batch_69d98a9829b48190b23624b6b3df4600 |
completed | April 10, 2026, 11:41 p.m. |
| PD | Predicate disambiguation | batch_69d9803aca4c8190b1015cd159cc47a9 |
completed | April 10, 2026, 10:56 p.m. |
Created at: April 9, 2026, 8:57 p.m.