Triple
T4201668
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Europrop International TP400-D6 |
E86079
|
entity |
| Predicate | aircraftTypeServed |
P1524
|
FINISHED |
| Object | four‑engine turboprop transport |
—
|
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: four‑engine turboprop transport | Statement: [Europrop International TP400-D6, aircraftTypeServed, four‑engine turboprop transport]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: aircraftTypeServed Context triple: [Europrop International TP400-D6, aircraftTypeServed, four‑engine turboprop transport]
-
A.
servesAirlineType
Indicates that a service provider (such as an airport, terminal, or facility) accommodates or operates flights for a specified type or category of airline.
-
B.
aircraftType
chosen
Indicates the specific model or category of aircraft associated with an entity or event.
-
C.
aircraftRoleSupported
Indicates that a given role or function is supported or enabled for a particular aircraft.
-
D.
airlineType
Indicates the classification or category of an airline based on its operational or service characteristics.
-
E.
usedByAircraftType
Indicates that something (such as equipment, infrastructure, or a procedure) is employed or operated by a specific type or category of aircraft.
- 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_69aed93b89f48190a31f6d57c760e42f |
completed | March 9, 2026, 2:29 p.m. |
| NER | Named-entity recognition | batch_69af037da30481908106b27a88d59140 |
completed | March 9, 2026, 5:29 p.m. |
| PD | Predicate disambiguation | batch_69af01959c4881909eb1adcb3bdadbe6 |
completed | March 9, 2026, 5:21 p.m. |
Created at: March 9, 2026, 3:49 p.m.