Triple

T31464833
Position Surface form Disambiguated ID Type / Status
Subject Stokoe notation E802695 entity
Predicate hasTranscriptionLevel P196212 FINISHED
Object phonological 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: phonological | Statement: [Stokoe notation, hasTranscriptionLevel, phonological]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: hasTranscriptionLevel
Context triple: [Stokoe notation, hasTranscriptionLevel, phonological]
  • A. isTranscriptionOf
    Indicates that one entity is a written, typed, or otherwise recorded representation of the content of another entity, preserving its original form as closely as possible.
  • B. hasTranscriptionType chosen
    Indicates the specific kind or category of transcription associated with an entity (e.g., audio-to-text, phonetic, or orthographic transcription).
  • C. isTranscriptionSystem
    Indicates that one entity functions as a system or method for transcribing the language, script, or symbols of another entity.
  • D. isTranscribedIn
    Indicates that the genetic information of an entity (such as a gene or DNA region) is copied into an RNA molecule within a specified context (such as a cell type, tissue, or condition).
  • E. hasSpeechLevels
    Indicates that a language, dialect, or communicative system distinguishes different levels or styles of speech used according to social context, formality, or relative status between speakers.
  • 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_69f348c84c1c81908739f100ecf7394e completed April 30, 2026, 12:19 p.m.
NER Named-entity recognition batch_69fecd0a732c819097bdd3eb69b6158c completed May 9, 2026, 5:58 a.m.
PD Predicate disambiguation batch_69fecc0318d481908b5b20598a76a9fe completed May 9, 2026, 5:54 a.m.
Created at: April 30, 2026, 9:22 p.m.