Triple

T29372071
Position Surface form Disambiguated ID Type / Status
Subject Ys Book I & II E744879 entity
Predicate supportsCDAudio P204124 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: [Ys Book I & II, supportsCDAudio, yes]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: supportsCDAudio
Context triple: [Ys Book I & II, supportsCDAudio, yes]
  • A. cassetteTypeSupported
    Indicates that a given system, device, or component is compatible with and can operate using a specified cassette type.
  • B. supportsCassette
    Indicates that one entity is capable of holding, accommodating, or being compatible with a cassette.
  • C. supportsPhysicalMedia
    Indicates that one entity provides the capability to use, read, or handle physical media formats (such as discs, tapes, or printed materials) associated with another entity.
  • D. hasAdhesiveDisc
    Indicates that one entity possesses a specialized adhesive disc structure used to attach or cling to another surface or object.
  • E. supportsPCM
    Indicates that one entity is capable of handling, processing, or is compatible with PCM (Pulse-Code Modulation) audio data used by another entity.
  • 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_69f0a79ba954819094597628112c6091 completed April 28, 2026, 12:27 p.m.
NER Named-entity recognition batch_6a032b2285ac81908826f311a222c749 completed May 12, 2026, 1:29 p.m.
PD Predicate disambiguation batch_6a032929b8b88190bf7d14d789b38aeb completed May 12, 2026, 1:20 p.m.
PDg Predicate description generation batch_6a032b21d5b08190bf4690cbf6c1d3de completed May 12, 2026, 1:29 p.m.
Created at: April 28, 2026, 2:28 p.m.