Triple

T6915224
Position Surface form Disambiguated ID Type / Status
Subject Treviso E160032 entity
Predicate hasAirport P105 FINISHED
Object Treviso Airport E506096 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: Treviso Airport | Statement: [Treviso, hasAirport, Treviso Airport]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Treviso Airport
Context triple: [Treviso, hasAirport, Treviso Airport]
  • A. Treviso Airport chosen
    Treviso Airport is a small international airport in the Veneto region of northern Italy that primarily serves low-cost carriers and provides an alternative gateway to Venice.
  • B. Parma Airport
    Parma Airport is a regional airport in Parma, Italy, serving domestic and limited international flights for the Emilia-Romagna region.
  • C. Verona Villafranca Airport
    Verona Villafranca Airport is an international airport in northern Italy serving the city of Verona and the surrounding Veneto region with domestic and European flights.
  • D. Turin Airport
    Turin Airport is the main international airport serving the city of Turin and the surrounding Piedmont region in northern Italy.
  • E. Ancona Airport
    Ancona Airport is the main international airport serving the city of Ancona and the surrounding Marche region in central Italy.
  • 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_69c6883ab1008190a07129ff06f625d9 completed March 27, 2026, 1:38 p.m.
NER Named-entity recognition batch_69c6d9dec058819094d1913a1e5218c0 completed March 27, 2026, 7:26 p.m.
NED1 Entity disambiguation (via context triple) batch_69c7491589c08190982a84f2b61b497b completed March 28, 2026, 3:20 a.m.
Created at: March 27, 2026, 2:26 p.m.