Triple

T5984286
Position Surface form Disambiguated ID Type / Status
Subject Japanese Sign Language E133187 entity
Predicate hasLinguisticStructure P7162 FINISHED
Object morphology distinct from spoken Japanese 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: morphology distinct from spoken Japanese | Statement: [Japanese Sign Language, hasLinguisticStructure, morphology distinct from spoken Japanese]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: hasLinguisticStructure
Context triple: [Japanese Sign Language, hasLinguisticStructure, morphology distinct from spoken Japanese]
  • A. hasLinguisticElement
    Indicates that one entity includes, is associated with, or is characterized by a particular linguistic component such as a word, phrase, symbol, or other language element.
  • B. hasLinguisticFeature chosen
    Indicates that an entity possesses a particular linguistic property, trait, or characteristic.
  • C. hasLogicalStructure
    Indicates that one entity possesses or exhibits a specific underlying logical organization or pattern defined by another entity.
  • D. hasLinguisticDocumentation
    Indicates that there exists recorded linguistic information or documentation about the language or linguistic properties of the subject.
  • E. hasLinguisticDataType
    Indicates that something is associated with or characterized by a specific type or category of linguistic data.
  • 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_69c0087010d081908bb8142342d63330 completed March 22, 2026, 3:19 p.m.
NER Named-entity recognition batch_69c04a6c4f2481909cdcf931331b3595 completed March 22, 2026, 8 p.m.
PD Predicate disambiguation batch_69c049de98648190962b14fd341c93da completed March 22, 2026, 7:58 p.m.
Created at: March 22, 2026, 4:04 p.m.