Triple
T11802741
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Boeing 777X |
E280666
|
entity |
| Predicate | wingSpanWithTipsFolded_m |
P4571
|
FINISHED |
| Object | approximately 64.8 |
—
|
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 64.8 | Statement: [Boeing 777X, wingSpanWithTipsFolded_m, approximately 64.8]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: wingSpanWithTipsFolded_m Context triple: [Boeing 777X, wingSpanWithTipsFolded_m, approximately 64.8]
-
A.
wingSpanVariant
Indicates a relationship where one wing span measurement is a variant or alternative form of another wing span measurement.
-
B.
wingspan
chosen
Indicates the distance from the tip of one wing to the tip of the other wing when fully extended.
-
C.
wingFolding
Indicates that an entity folds or can fold its wings, typically transitioning them from an extended to a closed or resting position.
-
D.
wingArea
Indicates the total surface area covered by an entity’s wing or wings.
-
E.
fuselageLengthRange
Indicates the range of possible or specified lengths of a fuselage, typically expressed as a minimum and maximum value.
- 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.