Triple

T16621911
Position Surface form Disambiguated ID Type / Status
Subject Mats Zuccarello E403851 entity
Predicate youthClub P1088 FINISHED
Object Vålerenga Ishockey E124539 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: Vålerenga Ishockey | Statement: [Mats Zuccarello, youthClub, Vålerenga Ishockey]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Vålerenga Ishockey
Context triple: [Mats Zuccarello, youthClub, Vålerenga Ishockey]
  • A. Vålerenga chosen
    Vålerenga is a neighborhood in Oslo, Norway, known for its working-class roots and strong association with the local football club Vålerenga Fotball.
  • B. Gjøvik Hockey
    Gjøvik Hockey is an ice hockey club based in Gjøvik, Norway, competing in the Norwegian league system.
  • C. 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.
  • D. Lillehammer IK
    Lillehammer IK is a Norwegian ice hockey club based in Lillehammer that competes in the country’s top leagues.
  • E. Storhamar Idrettslag
    Storhamar Idrettslag is a Norwegian multi-sport club from Hamar best known for its successful ice hockey section, Storhamar Hockey.
  • 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_69d883897eb481909eaaa088ba9918d9 completed April 10, 2026, 4:58 a.m.
NER Named-entity recognition batch_69e3754e80ec8190b3c66b33dbc7463c completed April 18, 2026, 12:13 p.m.
NED1 Entity disambiguation (via context triple) batch_6a007db27f788190a3c57b7ea8a8a9c6 completed May 10, 2026, 12:44 p.m.
Created at: April 10, 2026, 5:17 a.m.