Triple

T9090319
Position Surface form Disambiguated ID Type / Status
Subject Kaposvár E217864 entity
Predicate hasSportFacility P2500 FINISHED
Object Kaposvár Stadion E365584 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: Kaposvár Stadion | Statement: [Kaposvár, hasSportFacility, Kaposvár Stadion]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Kaposvár Stadion
Context triple: [Kaposvár, hasSportFacility, Kaposvár Stadion]
  • A. Puskás Aréna
    Puskás Aréna is a modern football stadium in Budapest, Hungary, named after legendary footballer Ferenc Puskás and used for major international matches and tournaments.
  • B. Kaposvár Arena chosen
    Kaposvár Arena is a modern indoor sports and events venue located in the city of Kaposvár, Hungary.
  • C. Danube Arena
    Danube Arena is a modern indoor swimming and diving complex in Budapest, Hungary, known for hosting major international aquatic competitions.
  • D. Monolit stadium
    Monolit stadium is a sports venue, likely used for football and other athletic events, that is served by the Stadion Monolit station.
  • E. Ernst Happel Stadium
    Ernst Happel Stadium is Austria’s largest and most famous football stadium, located in Vienna and regularly hosting major international matches and events.
  • 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_69ca83d8ab5881909d8fddae363b32b1 completed March 30, 2026, 2:08 p.m.
NER Named-entity recognition batch_69cc965971f88190acffbf204c11832b completed April 1, 2026, 3:51 a.m.
NED1 Entity disambiguation (via context triple) batch_69d017ecc8b4819094dc0b009484ec00 completed April 3, 2026, 7:41 p.m.
Created at: March 30, 2026, 7:14 p.m.