Triple

T18814872
Position Surface form Disambiguated ID Type / Status
Subject Punat E460108 entity
Predicate hasNearbyAirport P4363 FINISHED
Object Rijeka 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: Rijeka Airport | Statement: [Punat, hasNearbyAirport, Rijeka Airport]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Rijeka Airport
Context triple: [Punat, hasNearbyAirport, Rijeka Airport]
  • A. Rijeka Airport chosen
    Rijeka Airport is an international airport serving the city of Rijeka and the surrounding Kvarner region on the Croatian island of Krk.
  • B. Zadar Airport
    Zadar Airport is an international airport in Croatia serving the city of Zadar and the surrounding Dalmatian coast, handling both commercial and seasonal tourist flights.
  • C. Brač Airport
    Brač Airport is a small regional airport on the Croatian island of Brač that serves as a gateway for tourists traveling to the central Dalmatian coast and nearby islands.
  • D. Lošinj Airport
    Lošinj Airport is a small regional airport serving the island of Lošinj and surrounding areas on Croatia’s northern Adriatic coast.
  • E. Osijek Airport
    Osijek Airport is a regional international airport serving the city of Osijek and the surrounding area in eastern Croatia.
  • 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_69d8d398c7d4819091cb2f7e48948aeb completed April 10, 2026, 10:40 a.m.
NER Named-entity recognition batch_69e5a3df2d3881909b336d813bbfd0aa completed April 20, 2026, 3:56 a.m.
Created at: April 10, 2026, 11:53 a.m.