Triple
T21823643
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | LA to Vegas |
E538791
|
entity |
| Predicate | airlineDepicted |
P75287
|
FINISHED |
| Object | fictional Jackpot Airlines |
—
|
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: fictional Jackpot Airlines | Statement: [LA to Vegas, airlineDepicted, fictional Jackpot Airlines]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: airlineDepicted Context triple: [LA to Vegas, airlineDepicted, fictional Jackpot Airlines]
-
A.
representsAirline
chosen
Indicates that one entity serves as the airline associated with, operating, or branding the other entity (such as a flight, route, or service).
-
B.
airlineBrand
Indicates that one entity functions as the commercial airline brand associated with, or operating under, another entity.
-
C.
airlineType
Indicates the classification or category of an airline based on its operational or service characteristics.
-
D.
airTransportServedBy
Indicates that a particular air transport service (such as a route, flight, or airport operation) is provided or operated by a specified carrier or service provider.
-
E.
usedByAirlineAlsoKnownAs
Indicates that an item (such as a code, name, or identifier) is used by an airline that is also known by an alternative name.
- 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_69e0c475038c8190abb9b1a20eb8ff50 |
completed | April 16, 2026, 11:13 a.m. |
| NER | Named-entity recognition | batch_69f0912f69f08190b06c718aa35c2bf0 |
completed | April 28, 2026, 10:51 a.m. |
| PD | Predicate disambiguation | batch_69e6be815a108190be81d7c987d0c0d6 |
completed | April 21, 2026, 12:02 a.m. |
Created at: April 16, 2026, 6:54 p.m.