Triple
T6696674
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Ciampino–G. B. Pastine International Airport |
E152766
|
entity |
| Predicate | hubFor |
P423
|
FINISHED |
| Object | Ryanair (focus city) |
E4144
|
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: Ryanair (focus city) | Statement: [Ciampino–G. B. Pastine International Airport, hubFor, Ryanair (focus city)]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Ryanair (focus city) Context triple: [Ciampino–G. B. Pastine International Airport, hubFor, Ryanair (focus city)]
-
A.
Ryanair
chosen
Ryanair is a major Irish low-cost airline known for its extensive network of short-haul flights across Europe.
-
B.
Aer Lingus
Aer Lingus is the flag carrier airline of Ireland, operating international flights primarily between Ireland, Europe, and North America.
-
C.
Flynas
Flynas is a Saudi low-cost airline based in Riyadh that operates domestic and regional flights across the Middle East and beyond.
-
D.
Wizz Air
Wizz Air is a Hungarian ultra-low-cost airline known for operating an extensive network of budget flights across Europe and surrounding regions.
-
E.
Lynx Air
Lynx Air is a Canadian ultra-low-cost airline that operates domestic and select international flights, primarily serving major hubs such as Toronto Pearson International Airport.
- 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_69c6880687b08190805278b504d1c92c |
completed | March 27, 2026, 1:37 p.m. |
| NER | Named-entity recognition | batch_69c6d0a3a2408190bb7be4613f896bdc |
completed | March 27, 2026, 6:46 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c6f7bd965881908a128d97f1c94dd0 |
completed | March 27, 2026, 9:33 p.m. |
Created at: March 27, 2026, 2:05 p.m.