Triple
T24465437
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Boeing 367-80 |
E616954
|
entity |
| Predicate | wingDesignBasisFor |
P156198
|
FINISHED |
| Object | KC-135 Stratotanker |
—
|
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: KC-135 Stratotanker | Statement: [Boeing 367-80, wingDesignBasisFor, KC-135 Stratotanker]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: wingDesignBasisFor Context triple: [Boeing 367-80, wingDesignBasisFor, KC-135 Stratotanker]
-
A.
wingConfiguration
Indicates how the wings of an aircraft or creature are arranged or structured relative to its body and to each other.
-
B.
architectOfWing
Indicates that one entity served as the architect responsible for designing a particular wing of a building or structure.
-
C.
wingOf
Indicates that something is a wing that forms a physical or functional part of another entity.
-
D.
wingFunction
Indicates the functional role or purpose that a wing serves in enabling certain actions or capabilities.
-
E.
typeOfWing
Indicates the specific kind or category of wing that an entity possesses or is associated with.
- 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_69e2d7f197588190889a03e620558059 |
completed | April 18, 2026, 1:01 a.m. |
| NER | Named-entity recognition | batch_69f298cd2a748190bbb4634e879d89f2 |
completed | April 29, 2026, 11:48 p.m. |
| PD | Predicate disambiguation | batch_69f287d76c7c81909494f12e606a9149 |
completed | April 29, 2026, 10:36 p.m. |
| PDg | Predicate description generation | batch_69f28f4d978c81908310c01def2514cc |
completed | April 29, 2026, 11:07 p.m. |
Created at: April 18, 2026, 2:19 a.m.