Triple
T7251666
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | General Electric F110 |
E157614
|
entity |
| Predicate | thrustToWeightRatio |
P24153
|
FINISHED |
| Object | high |
—
|
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: high | Statement: [General Electric F110, thrustToWeightRatio, high]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: thrustToWeightRatio Context triple: [General Electric F110, thrustToWeightRatio, high]
-
A.
thrustInVacuum_kN
Indicates the amount of propulsive force an engine produces in a vacuum, measured in kilonewtons.
-
B.
thrustAtSeaLevel
Indicates the amount of propulsive force an engine produces when operating at standard sea-level atmospheric conditions.
-
C.
thrustInVacuum_lbf
Indicates the amount of thrust force produced in a vacuum, measured in pounds-force (lbf), by an engine or propulsion system.
-
D.
powerplantThrustClass
Indicates the classification of a powerplant based on the level or range of thrust it produces.
-
E.
propulsionFeature
chosen
Indicates a relationship where a propulsion-related characteristic or capability is attributed to an entity.
- 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_69c6882d81d4819085f7ff862951ee4f |
completed | March 27, 2026, 1:37 p.m. |
| NER | Named-entity recognition | batch_69c6ea7ae0e48190bd80c91bad1976c6 |
completed | March 27, 2026, 8:37 p.m. |
| PD | Predicate disambiguation | batch_69c6e7666ffc81908bf643d8257e6337 |
completed | March 27, 2026, 8:24 p.m. |
Created at: March 27, 2026, 2:56 p.m.