Triple
T15147048
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | SAGAT S.p.A. |
E361836
|
entity |
| Predicate | hasPrimaryFacility |
P24002
|
FINISHED |
| Object | Turin Airport terminal |
E73186
|
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: Turin Airport terminal | Statement: [SAGAT S.p.A., hasPrimaryFacility, Turin Airport terminal]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Turin Airport terminal Context triple: [SAGAT S.p.A., hasPrimaryFacility, Turin Airport terminal]
-
A.
Turin Airport
chosen
Turin Airport is the main international airport serving the city of Turin and the surrounding Piedmont region in northern Italy.
-
B.
Cuneo International Airport
Cuneo International Airport is a regional airport in northern Italy serving the city of Cuneo and the surrounding Piedmont area with domestic and limited international flights.
-
C.
Parma Airport
Parma Airport is a regional airport in Parma, Italy, serving domestic and limited international flights for the Emilia-Romagna region.
-
D.
Franca Airport
Franca Airport is a regional public airport serving the city of Franca in the state of São Paulo, Brazil.
-
E.
Aeroporto Enrico Forlanini
Aeroporto Enrico Forlanini is a major city airport in Milan, Italy, primarily serving domestic and short-haul European flights close to the city center.
- 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_69d85a0759908190b8a051d2e2a1cbe6 |
completed | April 10, 2026, 2:01 a.m. |
| NER | Named-entity recognition | batch_69e005c825a481909d00098b0e743365 |
completed | April 15, 2026, 9:40 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ff3d3b3fc0819094daf892200bd1ac |
completed | May 9, 2026, 1:57 p.m. |
Created at: April 10, 2026, 3:07 a.m.