Triple
T1856901
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Norwich |
E41722
|
entity |
| Predicate | hasAirport |
P105
|
FINISHED |
| Object | Norwich Airport |
E203989
|
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: Norwich Airport | Statement: [Norwich, hasAirport, Norwich Airport]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Norwich Airport Context triple: [Norwich, hasAirport, Norwich Airport]
-
A.
Norwich Airport
chosen
Norwich Airport is a regional airport in Norwich, England, providing domestic and limited international passenger and charter flights for Norfolk and the surrounding area.
-
B.
Southend Airport
Southend Airport is a regional international airport in Essex, England, serving the London area with passenger and cargo flights.
-
C.
Cotswold Airport
Cotswold Airport is a former Royal Air Force airfield in Gloucestershire, England, now operating as a civilian airport and aviation business hub.
-
D.
Cambridge Airport
Cambridge Airport is a regional airport serving the city of Cambridge in Cambridgeshire, England, handling general aviation, business, and some commercial flights.
-
E.
Luton Airport
Luton Airport is a major international airport north of London that serves as a key hub for low-cost airlines and short-haul European flights.
- 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_69a8864a83848190a4ec02721306c511 |
completed | March 4, 2026, 7:21 p.m. |
| NER | Named-entity recognition | batch_69abb07fc5f08190a195a2f24d7b858a |
completed | March 7, 2026, 4:58 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69addf4bda58819088adab01ca10254f |
completed | March 8, 2026, 8:42 p.m. |
Created at: March 4, 2026, 7:33 p.m.