Triple
T11802742
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Boeing 777X |
E280666
|
entity |
| Predicate | foldingWingtipAngle_deg |
P57271
|
FINISHED |
| Object | approximately 7 |
—
|
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: approximately 7 | Statement: [Boeing 777X, foldingWingtipAngle_deg, approximately 7]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: foldingWingtipAngle_deg Context triple: [Boeing 777X, foldingWingtipAngle_deg, approximately 7]
-
A.
wingFolding
chosen
Indicates that an entity folds or can fold its wings, typically transitioning them from an extended to a closed or resting position.
-
B.
wingConfiguration
Indicates how the wings of an aircraft or creature are arranged or structured relative to its body and to each other.
-
C.
typeOfWing
Indicates the specific kind or category of wing that an entity possesses or is associated with.
-
D.
wingSweepAngles
Indicates the angular positions of an entity’s wings relative to a reference axis, typically describing how far the wings are swept forward or backward.
-
E.
wingArea
Indicates the total surface area covered by an entity’s wing or 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_69d6ab26aae88190b2489efcb2a24234 |
completed | April 8, 2026, 7:23 p.m. |
| NER | Named-entity recognition | batch_69d8a658f918819092c2db05fe2ab0ce |
completed | April 10, 2026, 7:27 a.m. |
| PD | Predicate disambiguation | batch_69d8a24e9a088190aff7932d1ff93dbf |
completed | April 10, 2026, 7:10 a.m. |
Created at: April 8, 2026, 9:42 p.m.