Triple

T3272118
Position Surface form Disambiguated ID Type / Status
Subject Hamar E68670 entity
Predicate hasSportsVenue P587 FINISHED
Object Briskeby Arena E331569 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: Briskeby Arena | Statement: [Hamar, hasSportsVenue, Briskeby Arena]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Briskeby Arena
Context triple: [Hamar, hasSportsVenue, Briskeby Arena]
  • A. Briskeby Arena chosen
    Briskeby Arena is a football stadium in Hamar, Norway, primarily used as the home ground of the club HamKam.
  • 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. Oslo Spektrum
    Oslo Spektrum is a large indoor arena in Oslo, Norway, primarily used for ice hockey, concerts, and major cultural and sporting events.
  • D. ESPRIT Arena
    ESPRIT Arena is a modern multi-purpose stadium in Düsseldorf, Germany, primarily used for football matches and large-scale events.
  • E. Jordal Amfi
    Jordal Amfi is a prominent ice hockey arena in Oslo, Norway, historically known as a central venue for major national and international ice hockey 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_69ad859b54f881909bf530d549caf2fd completed March 8, 2026, 2:20 p.m.
NER Named-entity recognition batch_69adaff6308881908886a44804a0bb09 completed March 8, 2026, 5:20 p.m.
NED1 Entity disambiguation (via context triple) batch_69b28f0793e08190af55ee16e5091451 completed March 12, 2026, 10:01 a.m.
Created at: March 8, 2026, 3:10 p.m.