Triple
T33131102
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Learjet 85 |
E847870
|
entity |
| Predicate | intendedTakeoffWeight_lb |
P194028
|
FINISHED |
| Object | 36000 |
—
|
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: 36000 | Statement: [Learjet 85, intendedTakeoffWeight_lb, 36000]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: intendedTakeoffWeight_lb Context triple: [Learjet 85, intendedTakeoffWeight_lb, 36000]
-
A.
intendedTakeoffWeight_kg
Indicates the planned aircraft takeoff weight, measured in kilograms.
-
B.
designedTakeoffWeight_tonnes
Indicates the aircraft’s intended maximum takeoff weight, measured in metric tonnes, as specified in its design.
-
C.
maximumTakeoffWeight
Indicates the greatest allowable weight an aircraft can have at the start of its takeoff roll under specified conditions.
-
D.
takeoffWeightClass
Indicates the classification of an aircraft or vehicle based on its weight at the time of takeoff.
-
E.
takeoffDistanceAtMaxWeight
Indicates the distance required for an aircraft to take off when operating at its maximum allowable weight.
- 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_69f349588f088190b7c9588860f72033 |
completed | April 30, 2026, 12:21 p.m. |
| NER | Named-entity recognition | batch_69fd5d48855c8190bd93070b6a00d8b5 |
completed | May 8, 2026, 3:49 a.m. |
| PD | Predicate disambiguation | batch_69fd5c9aabb88190912800d90184a89d |
completed | May 8, 2026, 3:46 a.m. |
| PDg | Predicate description generation | batch_69fd5d47da488190a4f2dbd44a0a83b2 |
completed | May 8, 2026, 3:49 a.m. |
Created at: May 1, 2026, 1:27 a.m.