Triple

T3241574
Position Surface form Disambiguated ID Type / Status
Subject Amager Island E67975 entity
Predicate contains P35 FINISHED
Object Bella Center
Bella Center is a major convention and exhibition center in Copenhagen, Denmark, known for hosting large international conferences, trade fairs, and events.
E339943 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: Bella Center | Statement: [Amager Island, contains, Bella Center]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Bella Center
Context triple: [Amager Island, contains, Bella Center]
  • A. Oslo Spektrum
    Oslo Spektrum is a large indoor arena in Oslo, Norway, primarily used for ice hockey, concerts, and major cultural and sporting events.
  • B. Scandinavium arena
    Scandinavium arena is a major indoor sports and entertainment venue in Gothenburg, Sweden, known for hosting ice hockey, concerts, and international events.
  • C. ESPRIT Arena
    ESPRIT Arena is a modern multi-purpose stadium in Düsseldorf, Germany, primarily used for football matches and large-scale events.
  • D. Briskeby Arena
    Briskeby Arena is a football stadium in Hamar, Norway, primarily used as the home ground of the club HamKam.
  • E. Tivoli Concert Hall
    Tivoli Concert Hall is a prominent music and performance venue located within Copenhagen’s historic Tivoli Gardens amusement park.
  • 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: Bella Center
Triple: [Amager Island, contains, Bella Center]
Generated description
Bella Center is a major convention and exhibition center in Copenhagen, Denmark, known for hosting large international conferences, trade fairs, and events.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Bella Center
Target entity description: Bella Center is a major convention and exhibition center in Copenhagen, Denmark, known for hosting large international conferences, trade fairs, and events.
  • A. Oslo Spektrum
    Oslo Spektrum is a large indoor arena in Oslo, Norway, primarily used for ice hockey, concerts, and major cultural and sporting events.
  • B. Scandinavium arena
    Scandinavium arena is a major indoor sports and entertainment venue in Gothenburg, Sweden, known for hosting ice hockey, concerts, and international events.
  • C. ESPRIT Arena
    ESPRIT Arena is a modern multi-purpose stadium in Düsseldorf, Germany, primarily used for football matches and large-scale events.
  • D. Briskeby Arena
    Briskeby Arena is a football stadium in Hamar, Norway, primarily used as the home ground of the club HamKam.
  • E. Tivoli Concert Hall
    Tivoli Concert Hall is a prominent music and performance venue located within Copenhagen’s historic Tivoli Gardens amusement park.
  • 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_69ad858d27348190abb61c280b4c86a9 completed March 8, 2026, 2:19 p.m.
NER Named-entity recognition batch_69adaef76d908190815bb456e366ee0a completed March 8, 2026, 5:16 p.m.
NED1 Entity disambiguation (via context triple) batch_69b27754492c819099bab9a2a3344561 completed March 12, 2026, 8:20 a.m.
NEDg Description generation batch_69b27a0c1f74819087bd0aa869eefd7b completed March 12, 2026, 8:32 a.m.
NED2 Entity disambiguation (via description) batch_69b27acca734819083bdd7713b10ff1a completed March 12, 2026, 8:35 a.m.
Created at: March 8, 2026, 3:08 p.m.