Triple

T13799909
Position Surface form Disambiguated ID Type / Status
Subject Ullevi tram stops E331611 entity
Predicate adjacentTo P224 FINISHED
Object Ullevi stadium complex E66012 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: Ullevi stadium complex | Statement: [Ullevi tram stops, adjacentTo, Ullevi stadium complex]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Ullevi stadium complex
Context triple: [Ullevi tram stops, adjacentTo, Ullevi stadium complex]
  • A. Ullevi Stadium chosen
    Ullevi Stadium is a major multi-purpose arena in Gothenburg, Sweden, known for hosting large football matches, athletics events, and concerts.
  • B. Aker Stadion
    Aker Stadion is a football stadium in Molde, Norway, best known as the home ground of the Norwegian club Molde FK.
  • C. Viking Stadion
    Viking Stadion is a football stadium in Stavanger, Norway, primarily serving as the home ground of Viking FK.
  • D. Daknamstadion
    Daknamstadion is a football stadium in Lokeren, Belgium, best known as the long-time home ground of K.S.C. Lokeren Oost-Vlaanderen.
  • E. Vålerenga Stadion
    Vålerenga Stadion is a football stadium in Oslo, Norway, serving as the home ground of the Vålerenga Fotball club.
  • 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_69d81c58feb08190a77bca8bf7d6d20f completed April 9, 2026, 9:38 p.m.
NER Named-entity recognition batch_69de025ce9148190b23370f6a522ff7a completed April 14, 2026, 9:01 a.m.
NED1 Entity disambiguation (via context triple) batch_69f7c0e5251c81909f3f40dcdea1772f completed May 3, 2026, 9:40 p.m.
Created at: April 9, 2026, 10:11 p.m.