Triple

T6581271
Position Surface form Disambiguated ID Type / Status
Subject Windows-1252 E157300 entity
Predicate defaultEncodingFor P33682 FINISHED
Object many legacy Western-language Windows applications 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: many legacy Western-language Windows applications | Statement: [Windows-1252, defaultEncodingFor, many legacy Western-language Windows applications]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: defaultEncodingFor
Context triple: [Windows-1252, defaultEncodingFor, many legacy Western-language Windows applications]
  • A. requestEncoding
    Indicates that one entity asks another to use or provide a specific encoding format for data or communication.
  • B. encodingBasisFor
    Indicates that one encoding scheme serves as the foundational or reference basis for defining or interpreting another encoding.
  • C. dataEncodingMethod chosen
    Indicates the specific technique or format used to encode data for storage, transmission, or processing.
  • D. defaultColorSpaceFor
    Indicates that one entity serves as the standard or primary color space used for representing or processing colors in another entity.
  • E. usesCharacterSet
    Indicates that one entity employs or relies on a specific character set defined by another entity for encoding or representing text.
  • 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_69c6882b3a108190b3a9eb343ae4162c completed March 27, 2026, 1:37 p.m.
NER Named-entity recognition batch_69c6c07cdf048190945ca5810fb1de88 completed March 27, 2026, 5:38 p.m.
PD Predicate disambiguation batch_69c6acfb462481909cb7aff5af4bca9d completed March 27, 2026, 4:14 p.m.
Created at: March 27, 2026, 1:54 p.m.