Triple

T7613216
Position Surface form Disambiguated ID Type / Status
Subject Abruzzo Airport E172293 entity
Predicate alternativeName P39 FINISHED
Object Pescara Airport E172293 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: Pescara Airport | Statement: [Abruzzo Airport, alternativeName, Pescara Airport]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Pescara Airport
Context triple: [Abruzzo Airport, alternativeName, Pescara Airport]
  • A. Brindisi Airport
    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. Ancona Airport
    Ancona Airport is the main international airport serving the city of Ancona and the surrounding Marche region in central Italy.
  • C. Abruzzo Airport chosen
    Abruzzo Airport is a regional international airport in Italy’s Abruzzo region, serving the city of Pescara and connecting it to various domestic and European destinations.
  • D. 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.
  • 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_69c6994f50808190ba228764bb422417 completed March 27, 2026, 2:50 p.m.
NER Named-entity recognition batch_69c6fa418ef081908fd17ff367520995 completed March 27, 2026, 9:44 p.m.
NED1 Entity disambiguation (via context triple) batch_69c87097d3a48190b337ff6906847d4e completed March 29, 2026, 12:21 a.m.
Created at: March 27, 2026, 3:55 p.m.