Triple
T2366891
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Peach Aviation |
E46001
|
entity |
| Predicate | aircraftUsage |
P7787
|
FINISHED |
| Object | short-haul routes |
—
|
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: short-haul routes | Statement: [Peach Aviation, aircraftUsage, short-haul routes]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: aircraftUsage Context triple: [Peach Aviation, aircraftUsage, short-haul routes]
-
A.
aviationUsage
chosen
Indicates that something is used for, involved in, or associated with aviation-related activities or purposes.
-
B.
usedByAircraftType
Indicates that something (such as equipment, infrastructure, or a procedure) is employed or operated by a specific type or category of aircraft.
-
C.
usedInAviation
Indicates that something is employed or applied within the field or context of aviation.
-
D.
aircraft
Indicates that an entity is an aircraft or functions in the role of an aircraft in the described context.
-
E.
airlinesUse
Indicates that certain airlines operate, employ, or make use of a specified resource, service, or system.
- 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_69a88a145268819083e2736cb835c696 |
completed | March 4, 2026, 7:37 p.m. |
| NER | Named-entity recognition | batch_69abc74b6bdc8190a12b2bcaa2dd7616 |
completed | March 7, 2026, 6:35 a.m. |
| PD | Predicate disambiguation | batch_69abc59b88348190a2d6c08f69974117 |
completed | March 7, 2026, 6:28 a.m. |
Created at: March 4, 2026, 7:56 p.m.