Triple
T32972841
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | XF-12 Rainbow |
E843571
|
entity |
| Predicate | enginePowerPerEngine |
P6069
|
FINISHED |
| Object | 3,000 hp class |
—
|
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: 3,000 hp class | Statement: [XF-12 Rainbow, enginePowerPerEngine, 3,000 hp class]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: enginePowerPerEngine Context triple: [XF-12 Rainbow, enginePowerPerEngine, 3,000 hp class]
-
A.
enginePower
chosen
Indicates the power output produced by an engine, typically quantifying its capability to perform work or generate mechanical energy.
-
B.
thrustPerEngine
Indicates the amount of thrust produced by each individual engine in a multi-engine system.
-
C.
numberOfEngines
Indicates the quantity of engines associated with or used by an entity.
-
D.
vehiclePower
Indicates the amount or type of power a vehicle can produce or is rated to deliver.
-
E.
aircraftEngineType
Indicates the specific type or classification of engine that an aircraft uses.
- 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_69f3494b9fc48190bb61c955ba471275 |
completed | April 30, 2026, 12:21 p.m. |
| NER | Named-entity recognition | batch_69f6d74b20a48190900dda1014cc13a8 |
completed | May 3, 2026, 5:04 a.m. |
| PD | Predicate disambiguation | batch_69f6d26f27dc8190ae426a3e1573933e |
completed | May 3, 2026, 4:43 a.m. |
Created at: May 1, 2026, 1:22 a.m.