Triple

T28997140
Position Surface form Disambiguated ID Type / Status
Subject Sapporo Concert Hall Kitara E736196 entity
Predicate pipeOrganStops P3426 FINISHED
Object 72 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: 72 | Statement: [Sapporo Concert Hall Kitara, pipeOrganStops, 72]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: pipeOrganStops
Context triple: [Sapporo Concert Hall Kitara, pipeOrganStops, 72]
  • A. hasPipeOrgan
    Indicates that one entity possesses, contains, or is equipped with a pipe organ.
  • B. pipeOrganType
    Indicates that one entity is a specific type or classification of pipe organ relative to another entity.
  • C. numberOfOrganPipes chosen
    Indicates the quantitative relationship specifying how many organ pipes are associated with a given organ or organ-related entity.
  • D. carillonType
    Indicates the specific kind or classification of a carillon associated with an entity.
  • E. hasOrganPlayer
    Indicates that an entity has another entity serving as its organ player.
  • 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_69f077eacd0481908ef0bafd74491cd0 completed April 28, 2026, 9:03 a.m.
NER Named-entity recognition batch_69f6617ba4a88190bfc5c305acb4f93f completed May 2, 2026, 8:41 p.m.
PD Predicate disambiguation batch_69f660f082508190a95a7888ad66cb2e completed May 2, 2026, 8:39 p.m.
Created at: April 28, 2026, 9:32 a.m.