Triple

T15913794
Position Surface form Disambiguated ID Type / Status
Subject Turin–Ceres railway E385915 entity
Predicate servesFacility P26183 FINISHED
Object Turin-Caselle Airport 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-Caselle Airport | Statement: [Turin–Ceres railway, servesFacility, Turin-Caselle Airport]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Turin-Caselle Airport
Context triple: [Turin–Ceres railway, servesFacility, Turin-Caselle Airport]
  • 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. Rieti Airport
    Rieti Airport is a small regional airfield in central Italy primarily used for general aviation, gliding, and sport flying activities.
  • 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_69d86da686e4819097cbf3b1fc2d881d completed April 10, 2026, 3:25 a.m.
NER Named-entity recognition batch_69e15661046c819097a53de2a3e0443b completed April 16, 2026, 9:36 p.m.
NED1 Entity disambiguation (via context triple) batch_69ffb0592b5c8190a4597644864a6bcb completed May 9, 2026, 10:08 p.m.
Created at: April 10, 2026, 4:52 a.m.