Triple

T14368028
Position Surface form Disambiguated ID Type / Status
Subject Budapest Metro Line 2 E356284 entity
Predicate hasStation P35 FINISHED
Object Puskás Ferenc Stadion E574532 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: Puskás Ferenc Stadion | Statement: [Budapest Metro Line 2, hasStation, Puskás Ferenc Stadion]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Puskás Ferenc Stadion
Context triple: [Budapest Metro Line 2, hasStation, Puskás Ferenc Stadion]
  • A. Puskás Aréna chosen
    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. Nagyerdei Stadium
    Nagyerdei Stadium is a modern multi-purpose stadium in Debrecen, Hungary, best known as a key venue for major cultural and sporting events in the city.
  • C. Kaposvár Arena
    Kaposvár Arena is a modern indoor sports and events venue located in the city of Kaposvár, Hungary.
  • D. Danube Arena
    Danube Arena is a modern indoor swimming and diving complex in Budapest, Hungary, known for hosting major international aquatic competitions.
  • 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_69d8279163a081908aec45c0e3f1e02f completed April 9, 2026, 10:26 p.m.
NER Named-entity recognition batch_69de8faf00e8819087d7100e9d8c1877 completed April 14, 2026, 7:04 p.m.
NED1 Entity disambiguation (via context triple) batch_69fd4c51bf888190b1776461884c4514 completed May 8, 2026, 2:37 a.m.
Created at: April 10, 2026, 1:15 a.m.