Triple
T4134466
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | George Best Belfast City Airport |
E85118
|
entity |
| Predicate | focusCityFor |
P164
|
FINISHED |
| Object | Aer Lingus |
E24183
|
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: Aer Lingus | Statement: [George Best Belfast City Airport, focusCityFor, Aer Lingus]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Aer Lingus Context triple: [George Best Belfast City Airport, focusCityFor, Aer Lingus]
-
A.
Aer Lingus
chosen
Aer Lingus is the flag carrier airline of Ireland, operating international flights primarily between Ireland, Europe, and North America.
-
B.
Ryanair
Ryanair is a major Irish low-cost airline known for its extensive network of short-haul flights across Europe.
-
C.
Aer Lingus AerClub
Aer Lingus AerClub is the frequent-flyer loyalty program of Aer Lingus, allowing members to earn and redeem points on flights and partner services.
-
D.
Flynas
Flynas is a Saudi low-cost airline based in Riyadh that operates domestic and regional flights across the Middle East and beyond.
-
E.
Finnair
Finnair is the flag carrier and largest airline of Finland, operating an extensive network of domestic and international flights with a strong focus on routes between Europe and Asia.
- 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_69aed935ccd881909dc61f81bcdb7a78 |
completed | March 9, 2026, 2:29 p.m. |
| NER | Named-entity recognition | batch_69af023190608190bcc929c5996b7378 |
completed | March 9, 2026, 5:24 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b576c75e5c8190acc4ee72cb574432 |
completed | March 14, 2026, 2:55 p.m. |
Created at: March 9, 2026, 3:43 p.m.