Triple

T13798722
Position Surface form Disambiguated ID Type / Status
Subject Storhamar Håndball E331581 entity
Predicate usesNumberOfPlayersOnCourt P89523 FINISHED
Object 7 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: 7 | Statement: [Storhamar Håndball, usesNumberOfPlayersOnCourt, 7]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: usesNumberOfPlayersOnCourt
Context triple: [Storhamar Håndball, usesNumberOfPlayersOnCourt, 7]
  • A. usesNumberOfPlayersOnFieldPerTeam
    Indicates that the relationship specifies or depends on how many players each team has on the field at a given time.
  • B. typicalNumberOfPlayers
    Indicates the usual or standard number of players involved in participating in an activity or game.
  • C. numberOfPlayersPerTeam chosen
    Indicates the quantity of players that are assigned to or allowed on each team in a given context.
  • D. playerNumber
    Indicates the specific jersey or identification number assigned to a player within a team or game context.
  • E. hasCourtSurface
    Indicates that something (such as a court or playing area) possesses a specific type of surface.
  • 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_69d81c58feb08190a77bca8bf7d6d20f completed April 9, 2026, 9:38 p.m.
NER Named-entity recognition batch_69de025ce9148190b23370f6a522ff7a completed April 14, 2026, 9:01 a.m.
PD Predicate disambiguation batch_69dbc85fb600819098a2aab48169be96 completed April 12, 2026, 4:29 p.m.
Created at: April 9, 2026, 10:11 p.m.