Triple

T9930780
Position Surface form Disambiguated ID Type / Status
Subject RFC 973 E192641 entity
Predicate hasPageFormat P8462 FINISHED
Object ASCII E23922 NE FINISHED

How this triple was built (3 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: ASCII | Statement: [RFC 973, hasPageFormat, ASCII]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: ASCII
Context triple: [RFC 973, hasPageFormat, ASCII]
  • A. ASCII chosen
    ASCII is a widely used character encoding standard that represents text in computers and other devices using 7-bit numerical codes for letters, digits, punctuation, and control characters.
  • B. ISO 646
    ISO 646 is an international standard for 7-bit character encodings that defines a set of basic Latin characters and allows national variants, serving as a foundation for many early computer character sets.
  • C. ASCI
    ASCI is a prestigious U.S. honor society of physician-scientists dedicated to advancing clinical and translational research.
  • D. UTF-8
    UTF-8 is a widely used variable-length character encoding standard for Unicode that efficiently represents text in most of the world's writing systems while maintaining backward compatibility with ASCII.
  • E. Unicode
    Unicode is a universal character encoding standard that assigns unique code points to virtually all written scripts, symbols, and emojis used in modern computing.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: hasPageFormat
Context triple: [RFC 973, hasPageFormat, ASCII]
  • A. hasPageOrientation
    Indicates that an entity is associated with a specific layout orientation of a page, such as portrait or landscape.
  • B. hasFileFormat chosen
    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.
  • C. hasPanelFormat
    Indicates that something is associated with a particular panel layout or format used for its presentation or display.
  • D. hasProductionFormat
    Indicates that an entity is associated with, or presented in, a particular production or media format.
  • E. hasPageCountApprox
    Indicates that an entity is associated with an approximate or estimated number of pages, rather than an exact page count.
  • F. None of above.

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_69ca82dd978c8190947124ab0d3315ac completed March 30, 2026, 2:04 p.m.
NER Named-entity recognition batch_69cdb5b4196881909a004091a4203c45 completed April 2, 2026, 12:17 a.m.
NED1 Entity disambiguation (via context triple) batch_69d228cab0fc81908ff5fad6916c1bab completed April 5, 2026, 9:18 a.m.
PD Predicate disambiguation batch_69cd1d90b8a8819081748f129c0c6ab6 completed April 1, 2026, 1:28 p.m.
Created at: March 30, 2026, 8:43 p.m.