Triple

T16811816
Position Surface form Disambiguated ID Type / Status
Subject Gjøvik Hockey E408631 entity
Predicate hasNameInLanguage P15 FINISHED
Object Gjøvik Hockey E408631 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: Gjøvik Hockey | Statement: [Gjøvik Hockey, hasNameInLanguage, Gjøvik Hockey]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Gjøvik Hockey
Context triple: [Gjøvik Hockey, hasNameInLanguage, Gjøvik Hockey]
  • A. Gjøvik Hockey chosen
    Gjøvik Hockey is an ice hockey club based in Gjøvik, Norway, competing in the Norwegian league system.
  • B. Storhamar Hockey
    Storhamar Hockey is a professional ice hockey club from Hamar, Norway, known as one of the country’s most successful and storied teams.
  • C. Sandnes HK
    Sandnes HK is a Norwegian handball club based in the city of Sandnes.
  • D. Lillehammer IK
    Lillehammer IK is a Norwegian ice hockey club based in Lillehammer that competes in the country’s top leagues.
  • E. FK Gjøvik-Lyn
    FK Gjøvik-Lyn is a Norwegian football club based in the town of Gjøvik, competing in the national league system.
  • 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_69d88393905081908d00a86b99996ac8 completed April 10, 2026, 4:58 a.m.
NER Named-entity recognition batch_69e3b2d0793c81909d938ac174a6e63a completed April 18, 2026, 4:35 p.m.
NED1 Entity disambiguation (via context triple) batch_6a00b292a5888190812539b14eb77f34 completed May 10, 2026, 4:30 p.m.
Created at: April 10, 2026, 5:23 a.m.