Triple

T7462620
Position Surface form Disambiguated ID Type / Status
Subject Modo Hockey E176287 entity
Predicate hasRivalryWith P893 FINISHED
Object Timrå IK E628614 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: Timrå IK | Statement: [Modo Hockey, hasRivalryWith, Timrå IK]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Timrå IK
Context triple: [Modo Hockey, hasRivalryWith, Timrå IK]
  • A. Timrå IK chosen
    Timrå IK is a professional ice hockey club from Timrå, Sweden, best known for competing in the country’s top leagues and developing numerous elite players.
  • B. Örgryte IS
    Örgryte IS is a Swedish sports club best known for its historic football team, one of the oldest in Sweden, based in Gothenburg.
  • C. Segeltorps IF
    Segeltorps IF is a Swedish multi-sport club best known for its ice hockey and football teams based in the Segeltorp area of Huddinge, near Stockholm.
  • D. Vittsjö GIK
    Vittsjö GIK is a Swedish football club best known for its women’s team competing in the top tiers of Swedish women’s football.
  • E. Stattena IF
    Stattena IF is a Swedish football club known for its role in developing players such as renowned coach and former international striker Pia Sundhage.
  • 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_69c69f21632481908bf83f6c6da897e3 completed March 27, 2026, 3:15 p.m.
NER Named-entity recognition batch_69c6f3d80ae08190ba383066cf0cb2ce completed March 27, 2026, 9:17 p.m.
NED1 Entity disambiguation (via context triple) batch_69c83464fc48819086f206f4d6b840ab completed March 28, 2026, 8:04 p.m.
Created at: March 27, 2026, 3:39 p.m.