Triple
T23479591
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Boeing 737-900ER |
E570366
|
entity |
| Predicate | wingletsOption |
P151660
|
FINISHED |
| Object | Blended Winglets |
—
|
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: Blended Winglets | Statement: [Boeing 737-900ER, wingletsOption, Blended Winglets]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: wingletsOption Context triple: [Boeing 737-900ER, wingletsOption, Blended Winglets]
-
A.
hasWinglets
chosen
Indicates that an object, typically an aircraft wing, is equipped with winglets as part of its design or structure.
-
B.
wingConfiguration
Indicates how the wings of an aircraft or creature are arranged or structured relative to its body and to each other.
-
C.
hasWingConfiguration
Indicates how an entity’s wings are arranged, structured, or configured relative to its body or to each other.
-
D.
wingFunction
Indicates the functional role or purpose that a wing serves in enabling certain actions or capabilities.
-
E.
wingtipColor
Indicates the color present on the tips of an entity's wings.
- 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_69e245af8a88819084f2704f6d265a92 |
completed | April 17, 2026, 2:37 p.m. |
| NER | Named-entity recognition | batch_69f1a74f48d8819080e875aaea8b46b3 |
completed | April 29, 2026, 6:38 a.m. |
| PD | Predicate disambiguation | batch_69f0620ac3608190b36916261ea50f54 |
completed | April 28, 2026, 7:30 a.m. |
Created at: April 17, 2026, 6:02 p.m.