Triple

T13798654
Position Surface form Disambiguated ID Type / Status
Subject Storhamar Hockey E331580 entity
Predicate notableRival P893 FINISHED
Object Lillehammer IK E98201 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: Lillehammer IK | Statement: [Storhamar Hockey, notableRival, Lillehammer IK]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Lillehammer IK
Context triple: [Storhamar Hockey, notableRival, Lillehammer IK]
  • A. Lillehammer IK chosen
    Lillehammer IK is a Norwegian ice hockey club based in Lillehammer that competes in the country’s top leagues.
  • B. Lillehammer FK
    Lillehammer FK is a Norwegian football club based in the town of Lillehammer, competing in the lower tiers of the national league system.
  • C. Storhamar Idrettslag
    Storhamar Idrettslag is a Norwegian multi-sport club from Hamar best known for its successful ice hockey section, Storhamar Hockey.
  • D. Tromsø IL
    Tromsø IL is a Norwegian professional football club based in the city of Tromsø, known for competing in the country’s top divisions and for being one of the world’s northernmost elite clubs.
  • E. Kjelsås IL
    Kjelsås IL is a Norwegian multi-sport club based in the Kjelsås neighborhood of Oslo, known for activities such as football, handball, and skiing.
  • 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_69f7c70261c8819099408952f137456d completed May 3, 2026, 10:06 p.m.
Created at: April 9, 2026, 10:11 p.m.