Triple
T31112786
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Frances |
E792996
|
entity |
| Predicate | hasPropulsionTypeOfDesignatedAircraft |
P67482
|
FINISHED |
| Object | twin-engine piston aircraft |
—
|
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: twin-engine piston aircraft | Statement: [Frances, hasPropulsionTypeOfDesignatedAircraft, twin-engine piston aircraft]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasPropulsionTypeOfDesignatedAircraft Context triple: [Frances, hasPropulsionTypeOfDesignatedAircraft, twin-engine piston aircraft]
-
A.
poweredAircraftType
Indicates that one entity is a type or category of aircraft that is propelled by an onboard power source (e.g., engines), as opposed to being unpowered.
-
B.
propulsionTypeCode
Indicates the specific method or system by which an object or vehicle is propelled or driven.
-
C.
aircraftPowerplantType
chosen
Indicates the type or category of powerplant (e.g., engine or propulsion system) used by an aircraft.
-
D.
eraOfDesignatedAircraft
Indicates the historical time period or era during which the designated aircraft was primarily designed, developed, or in standard operational use.
-
E.
isProductionAircraft
Indicates that an aircraft is a standard, serially produced model rather than a prototype, experimental, or custom-built version.
- 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_69f224cfd5d881908ec6447bc321cd58 |
completed | April 29, 2026, 3:33 p.m. |
| NER | Named-entity recognition | batch_6a0039c2d5d48190b8ef2c7ef17d8dc5 |
completed | May 10, 2026, 7:54 a.m. |
| PD | Predicate disambiguation | batch_6a0038e525448190a4c815f51595e78d |
completed | May 10, 2026, 7:51 a.m. |
Created at: April 29, 2026, 9:04 p.m.