Triple

T17628973
Position Surface form Disambiguated ID Type / Status
Subject Aubrey Bledsoe E429924 entity
Predicate memberOfSportsTeam P330 FINISHED
Object Fortuna Hjørring 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: Fortuna Hjørring | Statement: [Aubrey Bledsoe, memberOfSportsTeam, Fortuna Hjørring]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Fortuna Hjørring
Context triple: [Aubrey Bledsoe, memberOfSportsTeam, Fortuna Hjørring]
  • A. Fortuna Hjørring chosen
    Fortuna Hjørring is a Danish women's football club known as one of Denmark's most successful and prominent teams, regularly competing in the top league and European competitions.
  • B. Herning Fremad
    Herning Fremad was a Danish football club from Herning that later became part of the foundation for the professional club FC Midtjylland.
  • C. Hammersborg
    Hammersborg is a central neighborhood in Oslo, Norway, known for housing key government buildings and cultural institutions.
  • D. Randers FC
    Randers FC is a professional Danish football club based in the city of Randers that competes in the Danish Superliga.
  • E. Fremad Amager
    Fremad Amager is a Danish football club based in the Amager district of Copenhagen that competes in the national league 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_69d889e37f308190a6aa0a69daff86c7 completed April 10, 2026, 5:25 a.m.
NER Named-entity recognition batch_69e46dbf59dc8190a56aa4a2449b2e2e completed April 19, 2026, 5:53 a.m.
Created at: April 10, 2026, 5:52 a.m.