Triple

T22711253
Position Surface form Disambiguated ID Type / Status
Subject Osijek Airport E561604 entity
Predicate hasOfficialName P66 FINISHED
Object Zračna luka Osijek 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: Zračna luka Osijek | Statement: [Osijek Airport, hasOfficialName, Zračna luka Osijek]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Zračna luka Osijek
Context triple: [Osijek Airport, hasOfficialName, Zračna luka Osijek]
  • A. Zračna luka Split
    Zračna luka Split is an international airport serving the city of Split and the central Dalmatian region of Croatia, known as one of the country’s busiest coastal tourist gateways.
  • B. Osijek Airport chosen
    Osijek Airport is a regional international airport serving the city of Osijek and the surrounding area in eastern Croatia.
  • C. Butmir Airport
    Butmir Airport is the main international airport serving Sarajevo, the capital of Bosnia and Herzegovina.
  • D. Zagreb Franjo Tuđman Airport
    Zagreb Franjo Tuđman Airport is the main international airport serving Croatia’s capital city, functioning as the country’s busiest air transport hub.
  • E. Rijeka Airport
    Rijeka Airport is an international airport serving the city of Rijeka and the surrounding Kvarner region on the Croatian island of Krk.
  • 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_69e2454f1348819088d83f420925a5c1 completed April 17, 2026, 2:35 p.m.
NER Named-entity recognition batch_69f17907d7288190bb53f76974f95cef completed April 29, 2026, 3:20 a.m.
Created at: April 17, 2026, 3:18 p.m.