Triple

T13799562
Position Surface form Disambiguated ID Type / Status
Subject HV71 E331602 entity
Predicate playsIn P795 FINISHED
Object Jönköping County E340093 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: Jönköping County | Statement: [HV71, playsIn, Jönköping County]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Jönköping County
Context triple: [HV71, playsIn, Jönköping County]
  • A. Jönköping County chosen
    Jönköping County is an administrative region in southern Sweden, centered around the city of Jönköping and known for its forests, lakes, and manufacturing industries.
  • B. Uppsala County
    Uppsala County is an administrative region in east-central Sweden known for its historic university city of Uppsala and its mix of cultural heritage and rural landscapes.
  • C. Örebro County
    Örebro County is a county in central Sweden known for its industrial heritage, including major arms manufacturer Bofors, and its administrative center in the city of Örebro.
  • D. Malmöhus County
    Malmöhus County was a former administrative county in southern Sweden that encompassed the area around the city of Malmö before being merged into the present-day Skåne County.
  • E. Östergötland County
    Östergötland County is an administrative region in southeastern Sweden known for its mix of historic cities, fertile plains, and coastal and archipelago landscapes along the Baltic Sea.
  • 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_69fdd5b719848190981aec627d64df58 completed May 8, 2026, 12:23 p.m.
Created at: April 9, 2026, 10:11 p.m.