Triple
T31112787
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Frances |
E792996
|
entity |
| Predicate | aircraftConfigurationOfDesignatedAircraft |
P3541
|
FINISHED |
| Object | twin-engine monoplane |
—
|
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 monoplane | Statement: [Frances, aircraftConfigurationOfDesignatedAircraft, twin-engine monoplane]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: aircraftConfigurationOfDesignatedAircraft Context triple: [Frances, aircraftConfigurationOfDesignatedAircraft, twin-engine monoplane]
-
A.
aircraftConfiguration
chosen
Indicates the specific arrangement or setup of an aircraft’s components, systems, or features for a given purpose or operating condition.
-
B.
aircraftConfigurationProduced
Indicates that a specific aircraft configuration has been manufactured or produced.
-
C.
aircraftRoleOfDesignatedAircraft
Indicates that an aircraft has the specified operational role or function as a designated aircraft within a particular context or mission.
-
D.
intendedAircraft
Indicates that an aircraft is the one planned or designated to be used for a particular flight, mission, or operation.
-
E.
airframerDesignation
Indicates the specific model or designation assigned to an aircraft by its manufacturing airframer.
- 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_69f6db1f3ec48190a82e7d893d3c76ba |
completed | May 3, 2026, 5:20 a.m. |
| PD | Predicate disambiguation | batch_69f6d82adfa481908a5e196d2e18c73f |
completed | May 3, 2026, 5:07 a.m. |
Created at: April 29, 2026, 9:04 p.m.