Triple

T6469976
Position Surface form Disambiguated ID Type / Status
Subject East_Asian_Width E142322 entity
Predicate hasDataFile P70988 FINISHED
Object EastAsianWidth.txt 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: EastAsianWidth.txt | Statement: [East_Asian_Width, hasDataFile, EastAsianWidth.txt]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: hasDataFile
Context triple: [East_Asian_Width, hasDataFile, EastAsianWidth.txt]
  • A. hasDataFields
    Indicates that an entity possesses or is associated with specific data fields or attributes.
  • B. hasConfigurationFile
    Indicates that an entity is associated with or defined by a specific configuration file.
  • C. hasFileFormat
    Indicates that one entity (typically a digital file or resource) is encoded, stored, or represented using a specific file format defined by the other entity.
  • D. hasFileExtension
    Indicates that one entity (typically a file) possesses a specific file extension denoting its type or format.
  • E. hasMetadata
    Indicates that one entity is associated with descriptive or informational data about another entity.
  • F. None of above. chosen

Provenance (4 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_69c008d3bf4c8190bcf798c5ba9d6fb3 completed March 22, 2026, 3:20 p.m.
NER Named-entity recognition batch_69c06a2e896481908ed004e3b0a33121 completed March 22, 2026, 10:16 p.m.
PD Predicate disambiguation batch_69c0673d46a08190bc8bcd29f9555fe7 completed March 22, 2026, 10:03 p.m.
PDg Predicate description generation batch_69c067da970481908a038995ba7dfb4b completed March 22, 2026, 10:06 p.m.
Created at: March 22, 2026, 4:50 p.m.