Triple

T13208889
Position Surface form Disambiguated ID Type / Status
Subject Kraljevo E314434 entity
Predicate airportAlsoKnownAs P22570 FINISHED
Object Morava Airport E408205 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: Morava Airport | Statement: [Kraljevo, airportAlsoKnownAs, Morava Airport]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Morava Airport
Context triple: [Kraljevo, airportAlsoKnownAs, Morava Airport]
  • A. Morava Airport chosen
    Morava Airport is a regional airport in central Serbia that serves as one of Air Serbia’s secondary operational bases, supporting domestic and limited international flights.
  • B. Gauchar Airport
    Gauchar Airport is the former name of Tribhuvan International Airport, the main international airport serving Kathmandu and the primary gateway to Nepal.
  • C. Osijek Airport
    Osijek Airport is a regional international airport serving the city of Osijek and the surrounding area in eastern Croatia.
  • D. Milkovo Airport
    Milkovo Airport is a small regional airport in Russia’s Kamchatka Krai that provides local air service connecting remote settlements such as Milkovo with larger hubs.
  • E. Pleso Airport
    Pleso Airport is the former name of Zagreb Franjo Tuđman Airport, the main international airport serving Croatia’s capital city, Zagreb.
  • 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_69d806aee7308190b70a237ba2a6e3e1 completed April 9, 2026, 8:06 p.m.
NER Named-entity recognition batch_69d98c9cb7ac819095cff8699993c419 completed April 10, 2026, 11:49 p.m.
NED1 Entity disambiguation (via context triple) batch_69f6ff1c9f348190aae39073bdcee84d completed May 3, 2026, 7:54 a.m.
Created at: April 9, 2026, 9:17 p.m.