Triple
T6202120
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Fokker F28 |
E138657
|
entity |
| Predicate | fuselageLengthRange |
P69637
|
FINISHED |
| Object | 27–30 metres |
—
|
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: 27–30 metres | Statement: [Fokker F28, fuselageLengthRange, 27–30 metres]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: fuselageLengthRange Context triple: [Fokker F28, fuselageLengthRange, 27–30 metres]
-
A.
fuselageDiameter
Indicates the diameter measurement of an aircraft’s fuselage in the described context.
-
B.
aircraftLength
Indicates the physical longitudinal measurement of an aircraft from its nose to its tail.
-
C.
fuselageType
Indicates the specific structural or design category of an aircraft’s fuselage that an entity belongs to or uses.
-
D.
fuselageLengthComparedTo747-100
Indicates how the length of an aircraft’s fuselage compares to that of a Boeing 747-100.
-
E.
fuselageCount
Indicates the number of fuselages associated with or contained in an aircraft or aerospace structure.
- 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_69c008acbea48190991c6b834bb45d65 |
completed | March 22, 2026, 3:20 p.m. |
| NER | Named-entity recognition | batch_69c0626a32908190a3332008aee2e4a9 |
completed | March 22, 2026, 9:43 p.m. |
| PD | Predicate disambiguation | batch_69c055fbce1081908805fd12e242ab96 |
completed | March 22, 2026, 8:50 p.m. |
| PDg | Predicate description generation | batch_69c056c87340819088003f427706ebf8 |
completed | March 22, 2026, 8:53 p.m. |
Created at: March 22, 2026, 4:20 p.m.