Triple

T5707055
Position Surface form Disambiguated ID Type / Status
Subject Lillestrøm SK E125809 entity
Predicate hasRivalryWith P893 FINISHED
Object Lyn Fotball E22611 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: Lyn Fotball | Statement: [Lillestrøm SK, hasRivalryWith, Lyn Fotball]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Lyn Fotball
Context triple: [Lillestrøm SK, hasRivalryWith, Lyn Fotball]
  • A. Lyn Fotball chosen
    Lyn Fotball is a Norwegian football club based in Oslo, historically known as one of the country’s oldest and most traditional teams.
  • B. FK Gjøvik-Lyn
    FK Gjøvik-Lyn is a Norwegian football club based in the town of Gjøvik, competing in the national league system.
  • C. Skeid Fotball
    Skeid Fotball is a Norwegian football club from Oslo known for its historic presence in the national leagues and local rivalries with other Oslo teams.
  • D. Tippeligaen
    Tippeligaen was the former sponsored name of Norway’s top-tier professional football league, now known as Eliteserien.
  • E. Lillestrøm
    Lillestrøm is a Norwegian town and former municipality in the Greater Oslo Region, known as a regional commercial center and transport hub.
  • 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_69c0082d6fe48190b777fb383769e5c8 completed March 22, 2026, 3:18 p.m.
NER Named-entity recognition batch_69c024892fd88190a91133fc88365410 completed March 22, 2026, 5:19 p.m.
NED1 Entity disambiguation (via context triple) batch_69c05a6c17608190a9a808c2c77d937c completed March 22, 2026, 9:09 p.m.
Created at: March 22, 2026, 3:45 p.m.