Triple

T25125673
Position Surface form Disambiguated ID Type / Status
Subject MZLZ d.d. E629387 entity
Predicate operatesAirportServingCity P115936 FINISHED
Object Zagreb 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: Zagreb | Statement: [MZLZ d.d., operatesAirportServingCity, Zagreb]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: operatesAirportServingCity
Context triple: [MZLZ d.d., operatesAirportServingCity, Zagreb]
  • A. operatesAirport
    Indicates that one entity manages and runs the operations of an airport.
  • B. servesAsPrimaryAirportOperatorForCity chosen
    Indicates that an entity functions as the main organization responsible for operating the primary airport serving a particular city.
  • C. airportServesAs
    Indicates that an airport functions in a particular role or capacity (such as primary, secondary, or hub) for a specified area, organization, or service.
  • D. airportServed
    Indicates that a particular airport provides service to, or is used for air travel to and from, a given location or area.
  • E. servesAirportICAO
    Indicates that a transportation service or facility operates routes to or from the airport identified by the given ICAO code.
  • F. None of above.

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_69e2ff3288048190bd82c3b7f7bd0e62 completed April 18, 2026, 3:49 a.m.
NER Named-entity recognition batch_69f6a8df16a88190a23820e64a3b1f92 completed May 3, 2026, 1:46 a.m.
PD Predicate disambiguation batch_69f6a751d5e48190a77dcecbe7ef9f0b completed May 3, 2026, 1:39 a.m.
Created at: April 18, 2026, 6:28 a.m.