Triple

T7985316
Position Surface form Disambiguated ID Type / Status
Subject RFC 4180 E185669 entity
Predicate definesQuoteCharacter P78640 FINISHED
Object double quote 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: double quote | Statement: [RFC 4180, definesQuoteCharacter, double quote]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: definesQuoteCharacter
Context triple: [RFC 4180, definesQuoteCharacter, double quote]
  • A. verseQuoted
    Indicates that one text reproduces or cites a specific verse from another text.
  • B. capturesCharacter
    Indicates that one entity seizes, traps, or takes control of another character.
  • C. requiresDoubleQuotedStrings
    Indicates that the related element or operation must use double-quoted strings rather than other string delimiters.
  • D. hasQuotationSystem chosen
    Indicates that an entity uses or is associated with a particular system or convention for representing quotations.
  • E. testsCharacterOf
    Indicates that one entity challenges or probes another entity in order to reveal or evaluate that entity’s moral qualities, integrity, or inner nature.
  • 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_69ca829a2cfc819083d591d58ec04075 completed March 30, 2026, 2:03 p.m.
NER Named-entity recognition batch_69cb3c4a55b881909a96133e56c0dffa completed March 31, 2026, 3:15 a.m.
PD Predicate disambiguation batch_69cb048009a08190b4c577208a9f8f76 completed March 30, 2026, 11:17 p.m.
Created at: March 30, 2026, 5:15 p.m.