Triple

T23387658
Position Surface form Disambiguated ID Type / Status
Subject ISO/IEC 8859-7 E593926 entity
Predicate hasCodePageRelationship P152053 FINISHED
Object Windows-1253 (similar but not identical) 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: Windows-1253 (similar but not identical) | Statement: [ISO/IEC 8859-7, hasCodePageRelationship, Windows-1253 (similar but not identical)]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: hasCodePageRelationship
Context triple: [ISO/IEC 8859-7, hasCodePageRelationship, Windows-1253 (similar but not identical)]
  • A. hasCodeSpace
    Indicates that an entity is associated with a particular code space or coding namespace in which its identifiers or codes are defined.
  • B. hasUnicodeCodePoint
    Indicates that a character or symbol is associated with a specific numeric Unicode code point value.
  • C. hasLanguageCodeFormat
    Indicates that there is a specified structural or syntactic format that language codes associated with an entity must follow.
  • D. hasParentCode
    Indicates that an entity is associated with a parent code from which it is derived or to which it is hierarchically linked.
  • E. hasLinguisticCode
    Indicates that an entity is associated with a specific linguistic identifier or code (such as a language or script code) that characterizes its linguistic properties.
  • 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_69e25d2754fc819085deea939bde60ab completed April 17, 2026, 4:17 p.m.
NER Named-entity recognition batch_69f1a498fd08819085e90a872d9d0c7a completed April 29, 2026, 6:26 a.m.
PD Predicate disambiguation batch_69f061dde2e481908308952f9c0d3c2e completed April 28, 2026, 7:29 a.m.
PDg Predicate description generation batch_69f07cbbd7488190ab3c8ae7d0fb68bf completed April 28, 2026, 9:24 a.m.
Created at: April 17, 2026, 5:35 p.m.