Triple

T22305333
Position Surface form Disambiguated ID Type / Status
Subject Augmented Backus–Naur Form E551359 entity
Predicate abbreviation P43 FINISHED
Object ABNF NE NERFINISHED

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: ABNF | Statement: [Augmented Backus–Naur Form, abbreviation, ABNF]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: ABNF
Context triple: [Augmented Backus–Naur Form, abbreviation, ABNF]
  • A. BNF
    BNF is the National Rail station code for Briton Ferry railway station in Neath Port Talbot, Wales.
  • B. Backus–Naur Form
    Backus–Naur Form is a formal notation used to define the syntax of programming languages and other formal grammars in a precise, structured way.
  • C. Augmented Backus–Naur Form chosen
    Augmented Backus–Naur Form (ABNF) is a standardized, extended version of Backus–Naur Form used to formally specify the syntax of languages and protocols, notably in Internet and communication standards.
  • D. ANTLR
    ANTLR is a powerful parser generator framework widely used to build language interpreters, compilers, and translators from grammar specifications.
  • E. Van Wijngaarden grammars
    Van Wijngaarden grammars are a highly expressive formal grammar formalism, introduced for defining complex programming language syntax and semantics, notably used in the specification of ALGOL 68.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 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_69e11e46c0188190800181a4233f28fe completed April 16, 2026, 5:37 p.m.
NER Named-entity recognition batch_69f15726b7e48190b7636db01dbb8a40 completed April 29, 2026, 12:56 a.m.
Created at: April 16, 2026, 8:41 p.m.