Triple

T31279577
Position Surface form Disambiguated ID Type / Status
Subject Kōji E797622 entity
Predicate hasThirdMora P12765 FINISHED
Object じ (ji) 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: じ (ji) | Statement: [Kōji, hasThirdMora, じ (ji)]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: hasThirdMora
Context triple: [Kōji, hasThirdMora, じ (ji)]
  • A. thirdSyllable
    Indicates that one entity is the third syllable within, or corresponding to, another entity (such as a word or phrase).
  • B. hasThirdVarna
    Indicates that an entity belongs to, or is associated with, the third varna (social class) in a varna-based classification system.
  • C. hasThirdLetter chosen
    Indicates that a string or sequence possesses a specific character or element in the third position.
  • D. hasNasalHarmony
    Indicates that a phonological process causes nasality in one segment to spread to or be shared with other segments within a word or domain.
  • E. hasFinalSyllable
    Indicates that one entity possesses or ends with a specific final syllable represented by the other entity.
  • 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_69f224def9088190a37034eab3daf57f completed April 29, 2026, 3:33 p.m.
NER Named-entity recognition batch_69f6e6029a10819098ff21f58079e70e completed May 3, 2026, 6:06 a.m.
PD Predicate disambiguation batch_69f6e3d5e8188190b1e1c2e5d1b77031 completed May 3, 2026, 5:57 a.m.
Created at: April 29, 2026, 9:13 p.m.