Triple

T1079838
Position Surface form Disambiguated ID Type / Status
Subject Unicode Scalar Values E23920 entity
Predicate areInterpretedAs P4529 FINISHED
Object 32-bit integer values in UTF-32 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: 32-bit integer values in UTF-32 | Statement: [Unicode Scalar Values, areInterpretedAs, 32-bit integer values in UTF-32]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: areInterpretedAs
Context triple: [Unicode Scalar Values, areInterpretedAs, 32-bit integer values in UTF-32]
  • A. interpretedAs chosen
    Indicates that something is understood, perceived, or taken to mean something else, often based on context or subjective judgment.
  • B. isInterpretedBy
    Indicates that something (such as data, a work, or a signal) is given meaning, understanding, or explanation by a particular agent or process.
  • C. isInterpretedDifferentlyIn
    Indicates that the same item, event, or expression is understood or construed in a different way within a specified context, group, or setting.
  • D. interpretedInCase
    Indicates that something is understood, analyzed, or given meaning within the context of a particular case or specific situational scenario.
  • E. interpretiveStatus
    Indicates the evaluative or explanatory stance assigned to something, such as how it is understood, classified, or interpreted within a given context.
  • 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_69a493f1ddf48190a99d54b00e99f8ce completed March 1, 2026, 7:30 p.m.
NER Named-entity recognition batch_69a4b94509d08190964509ea4a2d7912 completed March 1, 2026, 10:10 p.m.
PD Predicate disambiguation batch_69a4b73d9f08819093668104f129840e completed March 1, 2026, 10:01 p.m.
Created at: March 1, 2026, 7:42 p.m.