Triple
T12294113
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Learjet 45 |
E293038
|
entity |
| Predicate | cabinAltitudeAtFL450 |
P90924
|
FINISHED |
| Object | 8000 ft |
—
|
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: 8000 ft | Statement: [Learjet 45, cabinAltitudeAtFL450, 8000 ft]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: cabinAltitudeAtFL450 Context triple: [Learjet 45, cabinAltitudeAtFL450, 8000 ft]
-
A.
cabinPressureAltitude
chosen
Indicates the altitude corresponding to the current cabin air pressure, as if that pressure were the standard atmospheric pressure at that height.
-
B.
operationalAltitude
Indicates the typical or designated altitude at which an entity is intended to operate.
-
C.
aircraftHeight
Indicates the vertical distance or altitude of an aircraft relative to a reference level (such as ground or sea level).
-
D.
locatedAtAltitude
Indicates that an entity exists or is positioned at a specific height above a reference level, typically sea level.
-
E.
altitudeOfRecordFlight
Indicates the altitude reached during a particular record-setting flight.
- 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_69d6ab690ad081908c0ed3870ec82d53 |
completed | April 8, 2026, 7:24 p.m. |
| NER | Named-entity recognition | batch_69d91d23def88190adbaa282dd03d6c6 |
completed | April 10, 2026, 3:54 p.m. |
| PD | Predicate disambiguation | batch_69d91c4ec6c4819085880bdefdd0f354 |
completed | April 10, 2026, 3:50 p.m. |
Created at: April 8, 2026, 9:52 p.m.