Triple
T34117436
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Cessna Citation Longitude |
E875010
|
entity |
| Predicate | powerplantThrustPerEngineLbf |
P123904
|
FINISHED |
| Object | approximately 7700 |
—
|
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 7700 | Statement: [Cessna Citation Longitude, powerplantThrustPerEngineLbf, approximately 7700]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: powerplantThrustPerEngineLbf Context triple: [Cessna Citation Longitude, powerplantThrustPerEngineLbf, approximately 7700]
-
A.
powerplantThrustClass
Indicates the classification of a powerplant based on the level or range of thrust it produces.
-
B.
thrustPerEngine
chosen
Indicates the amount of thrust produced by each individual engine in a multi-engine system.
-
C.
totalThrust
Indicates the combined amount of thrust produced by one or more propulsion sources acting on an object or system.
-
D.
thrustInVacuum_kN
Indicates the amount of propulsive force an engine produces in a vacuum, measured in kilonewtons.
-
E.
numberOfEnginesOnVulcanBooster
Indicates the quantity of engines installed on a Vulcan booster.
- 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_69f349a9271c81909576994c9ef7b179 |
completed | April 30, 2026, 12:23 p.m. |
| NER | Named-entity recognition | batch_69f7c29e1b848190b945c6c6120a5330 |
completed | May 3, 2026, 9:48 p.m. |
| PD | Predicate disambiguation | batch_69f7c1b6e7a881908deb96bedb2713f4 |
completed | May 3, 2026, 9:44 p.m. |
Created at: May 1, 2026, 1:53 a.m.