Triple
T3714610
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Ford Trimotor (early variants) |
E81495
|
entity |
| Predicate | typicalCruisingSpeed |
P10872
|
FINISHED |
| Object | approximately 90 mph |
—
|
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 90 mph | Statement: [Ford Trimotor (early variants), typicalCruisingSpeed, approximately 90 mph]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: typicalCruisingSpeed Context triple: [Ford Trimotor (early variants), typicalCruisingSpeed, approximately 90 mph]
-
A.
cruiseSpeed
chosen
Indicates the typical or optimal speed at which an entity is intended to travel under normal operating conditions.
-
B.
supercruiseSpeed
Indicates the speed at which an aircraft or vehicle can sustain supersonic flight without using afterburners or additional boost.
-
C.
supercruiseCapability
Indicates that an entity possesses the ability to sustain high-speed travel (typically supersonic) without using afterburners or additional boost mechanisms.
-
D.
rateOfClimb
Indicates the vertical speed at which an entity ascends or descends over time.
-
E.
typicalAircraftTypeCategory
Indicates the general class or category of aircraft type that is most commonly associated with or used in a given context.
- 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_69ad8b1a81588190b3f27a5483bb610e |
completed | March 8, 2026, 2:43 p.m. |
| NER | Named-entity recognition | batch_69adc9ce253c8190ada8eaa395fd3d5c |
completed | March 8, 2026, 7:11 p.m. |
| PD | Predicate disambiguation | batch_69adc041a8608190a2d543dab6d2ef6c |
completed | March 8, 2026, 6:30 p.m. |
Created at: March 8, 2026, 3:33 p.m.