Triple
T12821194
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | JQ |
E306532
|
entity |
| Predicate | airlineTypeOfOperator |
P15154
|
FINISHED |
| Object | low-cost carrier |
—
|
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: low-cost carrier | Statement: [JQ, airlineTypeOfOperator, low-cost carrier]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: airlineTypeOfOperator Context triple: [JQ, airlineTypeOfOperator, low-cost carrier]
-
A.
airlineOperator
Indicates that one entity operates or manages airline services for another entity or in a specified context.
-
B.
airlineType
chosen
Indicates the classification or category of an airline based on its operational or service characteristics.
-
C.
aircraftOperator
Indicates that one entity operates, manages, or is responsible for the use of a particular aircraft.
-
D.
airlineOwnershipType
Indicates the type or nature of ownership relationship that exists between an airline and its owning entity.
-
E.
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.
- 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_69d7bdf46c448190b1faa55aaacb6317 |
completed | April 9, 2026, 2:55 p.m. |
| NER | Named-entity recognition | batch_69d96e9e5a2481908921d097df541db8 |
completed | April 10, 2026, 9:41 p.m. |
| PD | Predicate disambiguation | batch_69d964100f7481909a197396003d4a71 |
completed | April 10, 2026, 8:56 p.m. |
Created at: April 9, 2026, 5:31 p.m.