Triple
T10181192
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Bournemouth Airport |
E236784
|
entity |
| Predicate | operator |
P179
|
FINISHED |
| Object | Regional & City Airports |
E787199
|
NE 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: Regional & City Airports | Statement: [Bournemouth Airport, operator, Regional & City Airports]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Regional & City Airports Context triple: [Bournemouth Airport, operator, Regional & City Airports]
-
A.
Regional & City Airports
chosen
Regional & City Airports is a UK-based airport management company that owns and operates a portfolio of regional airports and related aviation services.
-
B.
Airports of Regions
Airports of Regions is a Russian airport management company that operates and develops several regional airports across Russia.
-
C.
Range Regional Airport
Range Regional Airport is a public airport serving the city of Hibbing and the surrounding Iron Range region in northern Minnesota.
-
D.
Metropolitan Airport
Metropolitan Airport was the former name of Van Nuys Airport, a major general aviation airport in the Los Angeles area.
-
E.
RegionsAir
RegionsAir was a small U.S. regional airline that operated feeder and commuter flights under codeshare agreements with major carriers.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
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_69ca84d7260c8190bfbec36762943f37 |
completed | March 30, 2026, 2:12 p.m. |
| NER | Named-entity recognition | batch_69cded315f14819085727bd9b4363d10 |
completed | April 2, 2026, 4:14 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d301373a008190b8d39a8db4167e4f |
completed | April 6, 2026, 12:41 a.m. |
Created at: March 30, 2026, 9:11 p.m.