Triple
T4529791
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Nakajima B6N Tenzan |
E106265
|
entity |
| Predicate | wingFolding |
P57271
|
FINISHED |
| Object | folding wings for carrier storage |
—
|
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: folding wings for carrier storage | Statement: [Nakajima B6N Tenzan, wingFolding, folding wings for carrier storage]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: wingFolding Context triple: [Nakajima B6N Tenzan, wingFolding, folding wings for carrier storage]
-
A.
wingConfiguration
Indicates how the wings of an aircraft or creature are arranged or structured relative to its body and to each other.
-
B.
typeOfWing
Indicates the specific kind or category of wing that an entity possesses or is associated with.
-
C.
hasWings
Indicates that an entity possesses wings as physical appendages.
-
D.
architectOfWing
Indicates that one entity served as the architect responsible for designing a particular wing of a building or structure.
-
E.
hadWing
Indicates that an entity possessed one or more wings at some point in time.
- 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_69bd43f3d6e08190a91824f833d51bbe |
completed | March 20, 2026, 12:56 p.m. |
| NER | Named-entity recognition | batch_69bd579ba4188190b4cef6e91772f7e5 |
completed | March 20, 2026, 2:20 p.m. |
| PD | Predicate disambiguation | batch_69bd521cf77c819083852de3094d1377 |
completed | March 20, 2026, 1:56 p.m. |
| PDg | Predicate description generation | batch_69bd56b3e4c88190a7ade3d0ed0ab606 |
completed | March 20, 2026, 2:16 p.m. |
Created at: March 20, 2026, 1:03 p.m.