Triple
T34117435
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Cessna Citation Longitude |
E875010
|
entity |
| Predicate | fuelCapacityPounds |
P178247
|
FINISHED |
| Object | approximately 14000 |
—
|
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 14000 | Statement: [Cessna Citation Longitude, fuelCapacityPounds, approximately 14000]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: fuelCapacityPounds Context triple: [Cessna Citation Longitude, fuelCapacityPounds, approximately 14000]
-
A.
fuelCapacityKg
Indicates the maximum amount of fuel an entity can hold, measured in kilograms.
-
B.
fuelCapacityLiters
Indicates the amount of fuel a vehicle or container can hold, measured in liters.
-
C.
fuelTankConfiguration
Indicates how a system’s fuel tanks are arranged, connected, or structured relative to one another.
-
D.
weightLimitInPounds
Indicates the maximum allowable weight for something, expressed in pounds.
-
E.
propellantCapacity
Indicates the amount of propellant a system, such as a rocket or spacecraft, is capable of storing or carrying.
- 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_69f349a9271c81909576994c9ef7b179 |
completed | April 30, 2026, 12:23 p.m. |
| NER | Named-entity recognition | batch_69f70cebfeb88190a93eecbd4e17f0d3 |
completed | May 3, 2026, 8:53 a.m. |
| PD | Predicate disambiguation | batch_69f70ac0170c819098e3b8e41d02efef |
completed | May 3, 2026, 8:43 a.m. |
| PDg | Predicate description generation | batch_69f70b94784c8190970d654e066eb50d |
completed | May 3, 2026, 8:47 a.m. |
Created at: May 1, 2026, 1:53 a.m.