Triple

T13798596
Position Surface form Disambiguated ID Type / Status
Subject Hamarkameratene E331579 entity
Predicate shortName P43 FINISHED
Object HamKam E1061826 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: HamKam | Statement: [Hamarkameratene, shortName, HamKam]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: HamKam
Context triple: [Hamarkameratene, shortName, HamKam]
  • A. HamKam chosen
    HamKam is a Norwegian professional football club based in the city of Hamar, known for competing in the country’s top football divisions.
  • B. HAM-KAM
    HAM-KAM is the commonly used abbreviation for Hamarkameratene, a Norwegian football club based in Hamar.
  • C. Skammer
    Skammer is a character or component associated with the work "Baddest Guy Ever Liveth," likely contributing to its narrative or thematic impact.
  • D. Kanpetlet
    Kanpetlet is a small, remote town in western Myanmar known as a gateway to Nat Ma Taung (Mount Victoria) and its surrounding national park.
  • E. KAM
    KAM is the standard abbreviation for the Kamloops Blazers, a major junior ice hockey team in the Western Hockey League based in Kamloops, British Columbia.
  • 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_69fba1b8689c8190b3ef7416000ef89e completed May 6, 2026, 8:16 p.m.
Created at: April 9, 2026, 10:11 p.m.