Triple

T16736314
Position Surface form Disambiguated ID Type / Status
Subject Port of Brindisi E406726 entity
Predicate nearbyAirport P350 FINISHED
Object Brindisi Airport E554344 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: Brindisi Airport | Statement: [Port of Brindisi, nearbyAirport, Brindisi Airport]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Brindisi Airport
Context triple: [Port of Brindisi, nearbyAirport, Brindisi Airport]
  • A. Brindisi Airport chosen
    Brindisi Airport is an international airport in southern Italy that serves the city of Brindisi and the surrounding Apulia region as a key hub for both domestic and European flights.
  • B. Foggia Gino Lisa Airport
    Foggia Gino Lisa Airport is a small regional airport in Foggia, Italy, serving primarily domestic flights and general aviation.
  • C. Ancona Airport
    Ancona Airport is the main international airport serving the city of Ancona and the surrounding Marche region in central Italy.
  • D. Reggio Calabria Airport
    Reggio Calabria Airport is a regional Italian airport in Calabria that serves the city of Reggio Calabria and the surrounding area with domestic flights.
  • E. 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.
  • 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_69d8838ffb088190a0b11149929006bf completed April 10, 2026, 4:58 a.m.
NER Named-entity recognition batch_69e39c3a86848190a03f243dd1bdb899 completed April 18, 2026, 2:59 p.m.
NED1 Entity disambiguation (via context triple) batch_6a009d4ea8208190aed0a4014a10d120 completed May 10, 2026, 2:59 p.m.
Created at: April 10, 2026, 5:20 a.m.