Triple

T4292172
Position Surface form Disambiguated ID Type / Status
Subject Lillehammer FK E99619 entity
Predicate hasYouthDepartment P33012 FINISHED
Object yes LITERAL 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: yes | Statement: [Lillehammer FK, hasYouthDepartment, yes]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: hasYouthDepartment
Context triple: [Lillehammer FK, hasYouthDepartment, yes]
  • A. hasYouthProgram
    Indicates that an entity offers or is associated with an organized program or set of activities specifically designed for young people.
  • B. hasYouthTeam chosen
    Indicates that an entity has an associated youth team that serves as its junior or developmental squad.
  • C. hasCorpsOfCadets
    Indicates that an institution maintains an organized corps of cadets as part of its structure or programs.
  • D. hasSeniorSection
    Indicates that an entity includes or is associated with a designated section or area specifically intended for seniors.
  • E. youthWing
    Indicates that one organization serves as the youth or junior wing of another organization, typically representing younger members aligned with the parent body.
  • F. None of above.

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_69b3455175088190aa79c6e03b86647e completed March 12, 2026, 10:59 p.m.
NER Named-entity recognition batch_69b3508035a08190b752c8edce0aff86 completed March 12, 2026, 11:47 p.m.
PD Predicate disambiguation batch_69b347fc4c0c8190a7fcd814e27308a5 completed March 12, 2026, 11:10 p.m.
Created at: March 12, 2026, 11:08 p.m.