Triple
T9246847
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Exeter Airport |
E222217
|
entity |
| Predicate | offersServiceScope |
P17471
|
FINISHED |
| Object | scheduled passenger services |
—
|
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: scheduled passenger services | Statement: [Exeter Airport, offersServiceScope, scheduled passenger services]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: offersServiceScope Context triple: [Exeter Airport, offersServiceScope, scheduled passenger services]
-
A.
offersServiceTo
Indicates that one entity provides or makes a service available for the benefit or use of another entity.
-
B.
offersServiceIn
Indicates that a provider makes a particular service available within a specified location or jurisdiction.
-
C.
offersServiceType
chosen
Indicates that one entity provides or makes available a specific type or category of service to another entity or the public.
-
D.
offeredService
Indicates that one entity has provided or made available a service to another entity.
-
E.
offersFeature
Indicates that one entity provides or makes available a particular feature or capability to another entity.
- 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_69ca841d2b18819089f9faf5b2c2aec0 |
completed | March 30, 2026, 2:09 p.m. |
| NER | Named-entity recognition | batch_69cd05f55a848190a59e7087cc07f6ef |
completed | April 1, 2026, 11:48 a.m. |
| PD | Predicate disambiguation | batch_69cc7a4765648190aa9445c4a22dc471 |
completed | April 1, 2026, 1:52 a.m. |
Created at: March 30, 2026, 7:30 p.m.