Triple

T9044702
Position Surface form Disambiguated ID Type / Status
Subject McCune–Reischauer E216724 entity
Predicate usesApostropheForAspiration P64285 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: [McCune–Reischauer, usesApostropheForAspiration, yes]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: usesApostropheForAspiration
Context triple: [McCune–Reischauer, usesApostropheForAspiration, yes]
  • A. isWrittenWithApostrophe chosen
    Indicates that something (typically a word, phrase, or name) is written using an apostrophe character as part of its spelling or punctuation.
  • B. distinguishesAspiratedConsonants
    Indicates that a language or system makes a phonemic contrast between aspirated consonants and their unaspirated counterparts.
  • C. isGuttural
    Indicates that a sound, phoneme, or articulation is produced in the throat or back of the vocal tract (i.e., is guttural).
  • D. usesColloquialCharacters
    Indicates that an expression, name, or text is written using informal, non-standard, or colloquial characters rather than formal or standard script.
  • E. usesFinalConsonants
    Indicates that an entity employs or contains consonant sounds in final position, such as at the end of a word, syllable, or phonological unit.
  • 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_69ca83d22d488190adbce5e020e9cd1d completed March 30, 2026, 2:08 p.m.
NER Named-entity recognition batch_69cc6b137cec8190bd1b812c10d9542a completed April 1, 2026, 12:47 a.m.
PD Predicate disambiguation batch_69cc5ee566b081909e3cdaf551dbd0ec completed March 31, 2026, 11:55 p.m.
Created at: March 30, 2026, 7:09 p.m.