Triple

T22385702
Position Surface form Disambiguated ID Type / Status
Subject Bislett Stadium E553388 entity
Predicate hasTenants P3277 FINISHED
Object Skeid Fotball NE NERFINISHED

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: Skeid Fotball | Statement: [Bislett Stadium, hasTenants, Skeid Fotball]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Skeid Fotball
Context triple: [Bislett Stadium, hasTenants, Skeid Fotball]
  • A. Skeid Fotball chosen
    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.
  • B. Sandefjord Fotball
    Sandefjord Fotball is a Norwegian professional football club based in the town of Sandefjord, known for competing in the country’s top divisions.
  • C. Sogndal Fotball
    Sogndal Fotball is a Norwegian professional football club based in Sogndal, known for competing in the country’s top divisions and developing local talent.
  • D. Steinkjer FK
    Steinkjer FK is a Norwegian football club based in the town of Steinkjer, known for competing in the national league system and representing the local community in regional competitions.
  • E. Bryne FK
    Bryne FK is a Norwegian football club known for developing striker Erling Haaland in its youth system.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 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_69e11e4cf87c8190a1ff474daec326b7 completed April 16, 2026, 5:37 p.m.
NER Named-entity recognition batch_69f1582f5f348190881df0d5af110aef completed April 29, 2026, 1 a.m.
Created at: April 16, 2026, 8:45 p.m.