Triple
T599654
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Milan |
E11464
|
entity |
| Predicate | airport |
P1065
|
FINISHED |
| Object | Linate Airport |
E35249
|
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: Linate Airport | Statement: [Milan, airport, Linate Airport]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Linate Airport Context triple: [Milan, airport, Linate Airport]
-
A.
Milan Linate Airport
chosen
Milan Linate Airport is a major city airport serving Milan, Italy, primarily handling domestic and short-haul European flights close to the city center.
-
B.
Milan Malpensa Airport
Milan Malpensa Airport is a major international airport serving the Milan metropolitan area in northern Italy and one of the country’s busiest air transport hubs.
-
C.
Turin Airport
Turin Airport is the main international airport serving the city of Turin and the surrounding Piedmont region in northern Italy.
-
D.
Milan Bergamo Airport
Milan Bergamo Airport is a major low-cost international airport in northern Italy that serves the Milan metropolitan area and is a key base for Ryanair’s European operations.
-
E.
Ministro Pistarini International Airport
Ministro Pistarini International Airport is the main international gateway to Buenos Aires and one of Argentina’s busiest and most important airports.
- 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_69a4932779b881908688590d59c71900 |
completed | March 1, 2026, 7:27 p.m. |
| NER | Named-entity recognition | batch_69a49d78c0f08190b83ad89062ccb0b9 |
completed | March 1, 2026, 8:11 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69a5216e11248190a8c564a482d649a6 |
completed | March 2, 2026, 5:34 a.m. |
Created at: March 1, 2026, 7:35 p.m.