Triple
T7949310
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Milan Malpensa Airport |
E184573
|
entity |
| Predicate | isHubFor |
P423
|
FINISHED |
| Object | ITA Airways |
E594328
|
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: ITA Airways | Statement: [Milan Malpensa Airport, isHubFor, ITA Airways]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: ITA Airways Context triple: [Milan Malpensa Airport, isHubFor, ITA Airways]
-
A.
ITA Airways
chosen
ITA Airways is Italy’s national flag carrier airline, operating domestic and international flights across Europe and beyond.
-
B.
Alia Airlines
Alia Airlines was the original name of Royal Jordanian, the flag carrier airline of Jordan.
-
C.
Hunnu Air
Hunnu Air is a Mongolian airline that operates domestic and regional international flights, primarily serving as a key carrier based in Ulaanbaatar.
-
D.
Adria Airways
Adria Airways was the former national airline of Slovenia, operating scheduled and charter flights across Europe before ceasing operations in 2019.
-
E.
Pegasus Airlines
Pegasus Airlines is a Turkish low-cost carrier based in Istanbul that operates an extensive network of domestic and international flights across Europe, the Middle East, and beyond.
- 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_69ca8292cba881908a64427b938dac47 |
completed | March 30, 2026, 2:02 p.m. |
| NER | Named-entity recognition | batch_69cb3b2d09a4819097aa49e29a5426ec |
completed | March 31, 2026, 3:10 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69cbe03c7d308190aec1172415be995c |
completed | March 31, 2026, 2:54 p.m. |
Created at: March 30, 2026, 5:10 p.m.