Triple

T20015028
Position Surface form Disambiguated ID Type / Status
Subject Lajatico E494693 entity
Predicate hasNearbyAirport P4363 FINISHED
Object Pisa International Airport NE NERFINISHED

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: Pisa International Airport | Statement: [Lajatico, hasNearbyAirport, Pisa International Airport]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Pisa International Airport
Context triple: [Lajatico, hasNearbyAirport, Pisa International Airport]
  • A. Pisa International Airport chosen
    Pisa International Airport is a major airport in Tuscany, Italy, serving as the primary air gateway to the city of Pisa and the surrounding region, including the nearby Leaning Tower tourist area.
  • B. Franca Airport
    Franca Airport is a regional public airport serving the city of Franca in the state of São Paulo, Brazil.
  • C. Giuseppe Verdi Airport
    Giuseppe Verdi Airport is a regional airport serving the city of Parma in northern Italy, named after the famed Italian composer.
  • D. Florence Airport Peretola
    Florence Airport Peretola is the main international airport serving the city of Florence in Italy’s Tuscany region.
  • E. Federico Fellini International Airport
    Federico Fellini International Airport is a regional airport in Italy serving the city of Rimini and the surrounding Adriatic Riviera, handling both domestic and international flights.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 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_69da626bfd288190aa5d65098b6433ae completed April 11, 2026, 3:02 p.m.
NER Named-entity recognition batch_69e6623bba1881908440c92f08729ec1 completed April 20, 2026, 5:28 p.m.
Created at: April 11, 2026, 3:34 p.m.