Triple

T11104312
Position Surface form Disambiguated ID Type / Status
Subject Pula E262587 entity
Predicate hasAirport P105 FINISHED
Object Pula Airport E726671 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: Pula Airport | Statement: [Pula, hasAirport, Pula Airport]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Pula Airport
Context triple: [Pula, hasAirport, Pula Airport]
  • A. Pula Airport chosen
    Pula Airport is an international airport in Croatia that serves the coastal city of Pula and the surrounding Istrian region, handling both seasonal tourist traffic and regular passenger flights.
  • B. Ulundi Airport
    Ulundi Airport is a regional airport serving the town of Ulundi in KwaZulu-Natal, South Africa, providing air connectivity for passengers and local government activities.
  • C. Palana Airport
    Palana Airport is a regional airport serving the settlement of Palana in Russia’s Kamchatka Krai, providing vital air connectivity to this remote northern area.
  • D. Bram Fischer International Airport
    Bram Fischer International Airport is the primary airport serving Bloemfontein and the surrounding Free State region in South Africa.
  • E. Pietermaritzburg Airport
    Pietermaritzburg Airport is a regional airport in Pietermaritzburg, South Africa, providing primarily domestic passenger services.
  • 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_69d6aa9a40d88190a373e2c7e48285db completed April 8, 2026, 7:20 p.m.
NER Named-entity recognition batch_69d79a2d33948190ac29d174694a78e5 completed April 9, 2026, 12:23 p.m.
NED1 Entity disambiguation (via context triple) batch_69e42d6d03788190acc9748a3ba0d0ab completed April 19, 2026, 1:18 a.m.
Created at: April 8, 2026, 9:27 p.m.