Triple

T21332101
Position Surface form Disambiguated ID Type / Status
Subject Ōsu E525929 entity
Predicate hasCoveredArcade P24796 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: [Ōsu, hasCoveredArcade, yes]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: hasCoveredArcade
Context triple: [Ōsu, hasCoveredArcade, yes]
  • A. hasArcades chosen
    Indicates that one entity features or contains arcaded structures (a series of arches or covered passageways) associated with another entity.
  • B. hasCoveredLeague
    Indicates that a person or organization has reported on, broadcast, or otherwise provided coverage of a particular sports league.
  • C. notableArcadeGame
    Indicates that the subject is an arcade game that is particularly famous, influential, or otherwise noteworthy.
  • D. hasGamesAt
    Indicates that a particular location, venue, or platform hosts or offers one or more games.
  • E. hasCoveredStands
    Indicates that a venue or facility includes spectator stands that are sheltered by a roof or other overhead covering.
  • 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_69e0b51b90788190a4dd823d962626da completed April 16, 2026, 10:08 a.m.
NER Named-entity recognition batch_69e7ab54706081909445f9cd91a43788 completed April 21, 2026, 4:52 p.m.
PD Predicate disambiguation batch_69e6161feea4819091d13bb003363279 completed April 20, 2026, 12:03 p.m.
Created at: April 16, 2026, 4:42 p.m.