Triple
T35612155
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Tigerair Australia |
E1029063
|
entity |
| Predicate | operatedAircraftConfiguration |
P125702
|
FINISHED |
| Object | single-aisle jets |
—
|
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: single-aisle jets | Statement: [Tigerair Australia, operatedAircraftConfiguration, single-aisle jets]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: operatedAircraftConfiguration Context triple: [Tigerair Australia, operatedAircraftConfiguration, single-aisle jets]
-
A.
aircraftConfiguration
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.
aircraftTypesOperated
chosen
Indicates the types or models of aircraft that an entity (such as an airline or operator) uses or operates.
-
D.
operatorOfReferencedAircraft
Indicates that one entity serves as the operator (e.g., managing or controlling party) of an aircraft that is referenced elsewhere in the context.
-
E.
aircraftTypesUsedOn
Indicates the types or models of aircraft that are used on or assigned to a particular route, service, operation, or context.
- 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_69f76e0653ec81909b1b813c126c6574 |
completed | May 3, 2026, 3:47 p.m. |
| NER | Named-entity recognition | batch_6a01531add1c8190b51add7bb046e2cb |
completed | May 11, 2026, 3:55 a.m. |
| PD | Predicate disambiguation | batch_6a014fef3d8c81909b509d51d0c4cdc7 |
completed | May 11, 2026, 3:41 a.m. |
Created at: May 3, 2026, 4:05 p.m.