Triple

T12094671
Position Surface form Disambiguated ID Type / Status
Subject Forlì-Cesena E288039 entity
Predicate hasAirport P105 FINISHED
Object Forlì Airport E379033 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: Forlì Airport | Statement: [Forlì-Cesena, hasAirport, Forlì Airport]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Forlì Airport
Context triple: [Forlì-Cesena, hasAirport, Forlì Airport]
  • A. Forlì International Airport chosen
    Forlì International Airport is a regional airport in Emilia-Romagna, Italy, serving the city of Forlì and nearby destinations with commercial and general aviation services.
  • B. Umbria International Airport
    Umbria International Airport is a regional airport serving the city of Perugia and the surrounding Umbria region in central Italy.
  • C. Grosseto Airport
    Grosseto Airport is a joint civil–military airfield in Tuscany, Italy, serving the city of Grosseto and hosting an Italian Air Force base.
  • D. Parma Airport
    Parma Airport is a regional airport in Parma, Italy, serving domestic and limited international flights for the Emilia-Romagna region.
  • E. Foggia Gino Lisa Airport
    Foggia Gino Lisa Airport is a small regional airport in Foggia, Italy, serving primarily domestic flights and general aviation.
  • 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_69d6ab4964708190850585628b287b0c completed April 8, 2026, 7:23 p.m.
NER Named-entity recognition batch_69d91550ce508190babf5755e1553734 completed April 10, 2026, 3:20 p.m.
NED1 Entity disambiguation (via context triple) batch_69f5f66edf7881908f29b5b40b9d020f completed May 2, 2026, 1:04 p.m.
Created at: April 8, 2026, 9:48 p.m.