Triple
T703843
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | George Best Belfast City Airport |
E14056
|
entity |
| Predicate | hasFocusCityFor |
P1295
|
FINISHED |
| Object | Loganair |
E17455
|
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: Loganair | Statement: [George Best Belfast City Airport, hasFocusCityFor, Loganair]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Loganair Context triple: [George Best Belfast City Airport, hasFocusCityFor, Loganair]
-
A.
Loganair
chosen
Loganair is a Scottish regional airline that operates domestic and short-haul international flights across the United Kingdom and nearby destinations.
-
B.
Ibex Airlines
Ibex Airlines is a Japanese regional airline that operates domestic routes, often connecting smaller cities and regional airports within Japan.
-
C.
Flair Airlines
Flair Airlines is a Canadian ultra-low-cost carrier that operates domestic and select international flights, emphasizing budget-friendly travel options.
-
D.
Cape Air
Cape Air is a U.S.-based regional airline known for operating short-haul commuter flights, primarily in the Northeast, Midwest, Montana, the Caribbean, and Micronesia.
-
E.
Ryanair
Ryanair is a major Irish low-cost airline known for its extensive network of short-haul flights across Europe.
- 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_69a493494ec48190ae6751683625a9ba |
completed | March 1, 2026, 7:28 p.m. |
| NER | Named-entity recognition | batch_69a4a533fa788190bba0f55655469c46 |
completed | March 1, 2026, 8:44 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69a76d71a25c81908de9b9e59affb79f |
completed | March 3, 2026, 11:23 p.m. |
Created at: March 1, 2026, 7:36 p.m.