Triple

T8305953
Position Surface form Disambiguated ID Type / Status
Subject KETV E194462 entity
Predicate hasSportsDepartment P82651 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: [KETV, hasSportsDepartment, yes]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: hasSportsDepartment
Context triple: [KETV, hasSportsDepartment, yes]
  • A. hasSportsTeam
    Indicates that an entity possesses, sponsors, or is represented by a sports team.
  • B. containsSportsTeam
    Indicates that one entity (typically a location or organization) has a sports team as part of it or within its boundaries.
  • C. hasSportsInstitute
    Indicates that an entity possesses, hosts, or is associated with a sports institute or sports training facility.
  • D. universityAthleticDepartment
    Indicates that a university has an associated athletic department that manages its sports programs and related activities.
  • E. hasSportsService
    Indicates that an entity provides or is associated with a sports-related service.
  • F. None of above. chosen

Provenance (4 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_69ca82e613e88190bf8139669bbd0d53 completed March 30, 2026, 2:04 p.m.
NER Named-entity recognition batch_69cb7f293db08190912e5e8bb7e940cf completed March 31, 2026, 8 a.m.
PD Predicate disambiguation batch_69cb70bb3a708190bc705222092da614 completed March 31, 2026, 6:59 a.m.
PDg Predicate description generation batch_69cb76d648988190ab0669cc0592e827 completed March 31, 2026, 7:25 a.m.
Created at: March 30, 2026, 5:54 p.m.