Triple
T633235
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Boeing 747SP |
E15965
|
entity |
| Predicate | typicalCruiseSpeed |
P10872
|
FINISHED |
| Object | Mach 0.85 |
—
|
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: Mach 0.85 | Statement: [Boeing 747SP, typicalCruiseSpeed, Mach 0.85]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: typicalCruiseSpeed Context triple: [Boeing 747SP, typicalCruiseSpeed, Mach 0.85]
-
A.
cruiseSpeed
chosen
Indicates the typical or optimal speed at which an entity is intended to travel under normal operating conditions.
-
B.
maxSpeed
Indicates the greatest possible speed at which an entity can move or operate under specified conditions.
-
C.
hasAverageSurfaceSpeed
Indicates the typical or mean speed at which something moves across a surface over a given period or distance.
-
D.
speedAchieved
Indicates that a particular speed has been reached or attained by an entity during an event or action.
-
E.
aircraftType
Indicates the specific model or category of aircraft associated with an entity or event.
- 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_69a4935c131c8190a5378c6bf101e8cc |
completed | March 1, 2026, 7:28 p.m. |
| NER | Named-entity recognition | batch_69a49ec3b6488190aa0dce216c089a2e |
completed | March 1, 2026, 8:17 p.m. |
| PD | Predicate disambiguation | batch_69a49d030c648190ba1a02301b45f694 |
completed | March 1, 2026, 8:09 p.m. |
Created at: March 1, 2026, 7:35 p.m.