Triple
T8689136
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Bordeaux–Mérignac Airport |
E206239
|
entity |
| Predicate | hasHubAirline |
P423
|
FINISHED |
| Object | Volotea |
E464893
|
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: Volotea | Statement: [Bordeaux–Mérignac Airport, hasHubAirline, Volotea]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Volotea Context triple: [Bordeaux–Mérignac Airport, hasHubAirline, Volotea]
-
A.
Volotea
chosen
Volotea is a Spanish low-cost airline that primarily operates point-to-point flights connecting small and mid-sized European cities.
-
B.
Flega
Flega is the summit of Mount Smolikas, one of the highest and most prominent peaks in Greece.
-
C.
Volans
Volans is a small southern sky constellation representing a flying fish, located near the Large Magellanic Cloud.
-
D.
Kroitor
Kroitor is a surname most notably associated with Roman Kroitor, a pioneering Canadian filmmaker and co-founder of IMAX.
-
E.
Averostra
Averostra is a major clade of theropod dinosaurs that includes many of the more derived, often carnivorous lineages such as ceratosaurs and tetanurans.
- 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_69ca835481fc819084e33d3bc883bfa6 |
completed | March 30, 2026, 2:06 p.m. |
| NER | Named-entity recognition | batch_69cc57334b0c8190903a5a1784e74791 |
completed | March 31, 2026, 11:22 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69cef3d6904c8190a8456a99dae87bf2 |
completed | April 2, 2026, 10:55 p.m. |
Created at: March 30, 2026, 6:33 p.m.