Triple

T10357596
Position Surface form Disambiguated ID Type / Status
Subject Tarō E244039 entity
Predicate phoneticReading P9333 FINISHED
Object たろう 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: たろう | Statement: [Tarō, phoneticReading, たろう]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: phoneticReading
Context triple: [Tarō, phoneticReading, たろう]
  • A. phoneticValue
    Indicates a relationship where a symbol, sign, or written element is associated with the specific sound or sequence of sounds it represents.
  • B. isPhonetic chosen
    Indicates that one entity represents the phonetic (sound-based) form or pronunciation of another entity.
  • C. phoneticProcess
    Indicates a relationship where one sound or sequence of sounds undergoes a systematic phonetic change or transformation in a particular linguistic context.
  • D. phoneticComponents
    Indicates that one entity serves as a phonetic component or contributes to the pronunciation of another entity.
  • E. usesPhoneticSystem
    Indicates that one entity employs or is based on a particular phonetic system for representing or encoding sounds.
  • 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_69d381b22b8c8190aaed476be5f872a9 completed April 6, 2026, 9:49 a.m.
NER Named-entity recognition batch_69d4e9563ea48190b8702b3ef497ed9a completed April 7, 2026, 11:24 a.m.
PD Predicate disambiguation batch_69d4dfa657f481909cc5cc8fec00ad19 completed April 7, 2026, 10:42 a.m.
Created at: April 6, 2026, 11:58 a.m.