Triple

T11895544
Position Surface form Disambiguated ID Type / Status
Subject Dunajská Streda E283026 entity
Predicate hasStadium P105 FINISHED
Object MOL Aréna
MOL Aréna is a football stadium in Dunajská Streda, Slovakia, primarily serving as the home ground of the local club FC DAC 1904.
 E952334 NE FINISHED

How this triple was built (4 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: MOL Aréna | Statement: [Dunajská Streda, hasStadium, MOL Aréna]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: MOL Aréna
Context triple: [Dunajská Streda, hasStadium, MOL Aréna]
  • A. Steel Aréna
    Steel Aréna is a modern multi-purpose indoor arena in Košice, Slovakia, best known as the home venue of the ice hockey club HC Košice and for hosting major sporting and cultural events.
  • B. Kaposvár Arena
    Kaposvár Arena is a modern indoor sports and events venue located in the city of Kaposvár, Hungary.
  • C. VEB Arena
    VEB Arena is a modern football stadium in Moscow, Russia, best known as the home ground of CSKA Moscow and a key venue for major city derbies.
  • D. Královka Arena
    Královka Arena is a multi-purpose indoor sports hall in Prague, Czech Republic, primarily used for basketball and other indoor events.
  • E. Voith-Arena
    Voith-Arena is a football stadium in Heidenheim, Germany, primarily known as the venue for 1. FC Heidenheim’s home matches.
  • F. None of above. chosen
  • G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg Description generation gpt-5.1
Instruction
Generate a one-sentence description of the target entity. 
You are given a context triple in the form (subject, predicate, object), where the object is the target entity. 
# Instructions
Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. 
Avoid repeating the information from the triple, unless really essential.
# Response Format
Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: MOL Aréna
Triple: [Dunajská Streda, hasStadium, MOL Aréna]
Generated description
MOL Aréna is a football stadium in Dunajská Streda, Slovakia, primarily serving as the home ground of the local club FC DAC 1904.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: MOL Aréna
Target entity description: MOL Aréna is a football stadium in Dunajská Streda, Slovakia, primarily serving as the home ground of the local club FC DAC 1904.
  • A. Steel Aréna
    Steel Aréna is a modern multi-purpose indoor arena in Košice, Slovakia, best known as the home venue of the ice hockey club HC Košice and for hosting major sporting and cultural events.
  • B. Kaposvár Arena
    Kaposvár Arena is a modern indoor sports and events venue located in the city of Kaposvár, Hungary.
  • C. VEB Arena
    VEB Arena is a modern football stadium in Moscow, Russia, best known as the home ground of CSKA Moscow and a key venue for major city derbies.
  • D. Královka Arena
    Královka Arena is a multi-purpose indoor sports hall in Prague, Czech Republic, primarily used for basketball and other indoor events.
  • E. Voith-Arena
    Voith-Arena is a football stadium in Heidenheim, Germany, primarily known as the venue for 1. FC Heidenheim’s home matches.
  • F. None of above. chosen

Provenance (5 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_69d6ab2a90b08190a4e818821cc93e6d completed April 8, 2026, 7:23 p.m.
NER Named-entity recognition batch_69d8dd1286808190949719f54ff49a01 completed April 10, 2026, 11:20 a.m.
NED1 Entity disambiguation (via context triple) batch_69f41811e5ac8190a3e397e31f19bca1 completed May 1, 2026, 3:03 a.m.
NEDg Description generation batch_69f41f1c21388190b6ecb0fd602abb7d completed May 1, 2026, 3:33 a.m.
NED2 Entity disambiguation (via description) batch_69f42283c4cc81909793834ef65d2514 completed May 1, 2026, 3:48 a.m.
Created at: April 8, 2026, 9:44 p.m.