Triple
T17548203
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Doncaster Sheffield Airport |
E427384
|
entity |
| Predicate | hadPassengerServicesTo |
P25562
|
FINISHED |
| Object | domestic destinations in the United Kingdom |
—
|
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: domestic destinations in the United Kingdom | Statement: [Doncaster Sheffield Airport, hadPassengerServicesTo, domestic destinations in the United Kingdom]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hadPassengerServicesTo Context triple: [Doncaster Sheffield Airport, hadPassengerServicesTo, domestic destinations in the United Kingdom]
-
A.
hasPassengerServicesTo
chosen
Indicates that a transportation provider operates passenger services connecting one location or entity to another.
-
B.
hasPassengerAirlineService
Indicates that a location or facility is served by scheduled passenger airline flights.
-
C.
majorPassengerService
Indicates that a transportation facility or route provides primary or significant passenger service as one of its main functions.
-
D.
hadOnboardService
Indicates that an onboard service was provided or available during a particular trip, journey, or transport event.
-
E.
formerPassengerService
Indicates that an entity previously provided passenger transportation services but no longer does so.
- 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_69d889df6dc081908f67dbadc03c07ee |
completed | April 10, 2026, 5:25 a.m. |
| NER | Named-entity recognition | batch_69e454631e148190a1d46a6ecb79c71a |
completed | April 19, 2026, 4:04 a.m. |
| PD | Predicate disambiguation | batch_69e3b4fb39948190a82a597c5bac5c57 |
completed | April 18, 2026, 4:44 p.m. |
Created at: April 10, 2026, 5:49 a.m.