Triple

T30477002
Position Surface form Disambiguated ID Type / Status
Subject CJK Compatibility Ideographs E775469 entity
Predicate compatibilityDecompositionType P43918 FINISHED
Object compatibility ideograph 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: compatibility ideograph | Statement: [CJK Compatibility Ideographs, compatibilityDecompositionType, compatibility ideograph]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: compatibilityDecompositionType
Context triple: [CJK Compatibility Ideographs, compatibilityDecompositionType, compatibility ideograph]
  • A. decompositionType chosen
    Indicates the specific way in which a whole is broken down into its constituent parts or components.
  • B. decomposesIn
    Indicates that one entity breaks down or separates into another entity or set of entities as its components or products.
  • C. hasDecomposition
    Indicates that something can be broken down or separated into constituent parts, components, or simpler elements.
  • D. compatibilityModel
    Indicates that one entity is defined or evaluated according to a specific compatibility framework, standard, or model in relation to another entity.
  • E. typeOfDecoupling
    Indicates the specific manner or mechanism by which two previously connected or interdependent entities are separated or made independent from each other.
  • 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_69f22497341481909c21ba329fadaa6b completed April 29, 2026, 3:32 p.m.
NER Named-entity recognition batch_69f78c61ed4c8190ad84c918fa9af55a completed May 3, 2026, 5:56 p.m.
PD Predicate disambiguation batch_69f78b8cb3a881909ebaac1b503988c2 completed May 3, 2026, 5:53 p.m.
Created at: April 29, 2026, 8:12 p.m.