Triple
T10075011
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Airco DH.5 |
E213727
|
entity |
| Predicate | wingStaggerType |
P91951
|
FINISHED |
| Object | backward stagger |
—
|
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: backward stagger | Statement: [Airco DH.5, wingStaggerType, backward stagger]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: wingStaggerType Context triple: [Airco DH.5, wingStaggerType, backward stagger]
-
A.
wingPattern
Indicates the characteristic arrangement or design present on an entity's wings.
-
B.
wingConfiguration
Indicates how the wings of an aircraft or creature are arranged or structured relative to its body and to each other.
-
C.
wingAdaptation
Indicates how an entity’s wings are modified or specialized to support particular functions, conditions, or environments.
-
D.
wingFolding
Indicates that an entity folds or can fold its wings, typically transitioning them from an extended to a closed or resting position.
-
E.
wingOf
Indicates that something is a wing that forms a physical or functional part of another entity.
- F. None of above. chosen
Provenance (4 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_69ca839add308190b57d53b4ec21f2d0 |
completed | March 30, 2026, 2:07 p.m. |
| NER | Named-entity recognition | batch_69cdd017b8288190a577bd66e4ba66b7 |
completed | April 2, 2026, 2:10 a.m. |
| PD | Predicate disambiguation | batch_69cd4b97870481908f7a89df10d58a9e |
completed | April 1, 2026, 4:45 p.m. |
| PDg | Predicate description generation | batch_69cd4f8d9b888190b8067bd916dae773 |
completed | April 1, 2026, 5:02 p.m. |
Created at: March 30, 2026, 8:59 p.m.