Triple

T14437812
Position Surface form Disambiguated ID Type / Status
Subject Zoppot E358008 entity
Predicate hasSportsVenue P587 FINISHED
Object Ergo Arena
Ergo Arena is a modern multi-purpose indoor arena on the border of Gdańsk and Sopot in Poland, hosting major sports events, concerts, and cultural performances.
E1099304 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: Ergo Arena | Statement: [Zoppot, hasSportsVenue, Ergo Arena]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Ergo Arena
Context triple: [Zoppot, hasSportsVenue, Ergo Arena]
  • A. ESPRIT Arena
    ESPRIT Arena is a modern multi-purpose stadium in Düsseldorf, Germany, primarily used for football matches and large-scale events.
  • B. Orange Arena
    Orange Arena is a multi-purpose indoor sports and entertainment venue best known for hosting major international ice hockey events such as the IIHF World Championship.
  • C. Imtech Arena
    Imtech Arena is a football stadium in Hamburg, Germany, best known as the longtime home ground of Hamburger SV and for hosting major Bundesliga and international matches.
  • D. Ceres Arena
    Ceres Arena is a multi-purpose indoor sports and events arena located in Aarhus, Denmark.
  • E. Artland Arena
    Artland Arena is a multi-purpose indoor sports and events venue located in Quakenbrück, Germany.
  • 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: Ergo Arena
Triple: [Zoppot, hasSportsVenue, Ergo Arena]
Generated description
Ergo Arena is a modern multi-purpose indoor arena on the border of Gdańsk and Sopot in Poland, hosting major sports events, concerts, and cultural performances.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Ergo Arena
Target entity description: Ergo Arena is a modern multi-purpose indoor arena on the border of Gdańsk and Sopot in Poland, hosting major sports events, concerts, and cultural performances.
  • A. ESPRIT Arena
    ESPRIT Arena is a modern multi-purpose stadium in Düsseldorf, Germany, primarily used for football matches and large-scale events.
  • B. Orange Arena
    Orange Arena is a multi-purpose indoor sports and entertainment venue best known for hosting major international ice hockey events such as the IIHF World Championship.
  • C. Imtech Arena
    Imtech Arena is a football stadium in Hamburg, Germany, best known as the longtime home ground of Hamburger SV and for hosting major Bundesliga and international matches.
  • D. Ceres Arena
    Ceres Arena is a multi-purpose indoor sports and events arena located in Aarhus, Denmark.
  • E. Artland Arena
    Artland Arena is a multi-purpose indoor sports and events venue located in Quakenbrück, Germany.
  • 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_69d8279402a88190821ffa39ae15bccf completed April 9, 2026, 10:26 p.m.
NER Named-entity recognition batch_69de914a45ec81909ab8ccf302047d7f completed April 14, 2026, 7:11 p.m.
NED1 Entity disambiguation (via context triple) batch_69fd5bd7f46881908df1a1cea7b6af9b completed May 8, 2026, 3:43 a.m.
NEDg Description generation batch_69fd5d585cc08190908bc5f9b8abdb82 completed May 8, 2026, 3:49 a.m.
NED2 Entity disambiguation (via description) batch_69fd5e0bbd6c8190b14039b3335692c7 completed May 8, 2026, 3:52 a.m.
Created at: April 10, 2026, 1:18 a.m.