Triple

T5819433
Position Surface form Disambiguated ID Type / Status
Subject Backus–Naur Form E129070 entity
Predicate alsoKnownAs P39 FINISHED
Object BNF E129070 NE 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: BNF | Statement: [Backus–Naur Form, alsoKnownAs, BNF]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: BNF
Context triple: [Backus–Naur Form, alsoKnownAs, BNF]
  • A. Backus–Naur Form chosen
    Backus–Naur Form is a formal notation used to define the syntax of programming languages and other formal grammars in a precise, structured way.
  • B. CFG
    CFG is the stock ticker symbol for Citizens Financial Group, a major U.S.-based regional bank holding company.
  • C. 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.
  • D. Chomsky hierarchy
    The Chomsky hierarchy is a classification of formal grammars into four types that correspond to increasing levels of generative power and computational complexity in formal language theory.
  • E. BNC
    BNC is the commonly used abbreviation for Brasenose College, one of the constituent colleges of the University of Oxford.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

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_69c0084869e881908d7859492183ca7b completed March 22, 2026, 3:18 p.m.
NER Named-entity recognition batch_69c033e477c08190a8bd37c879e6b6b8 completed March 22, 2026, 6:24 p.m.
NED1 Entity disambiguation (via context triple) batch_69c0985399488190bcab9702e3b88539 completed March 23, 2026, 1:33 a.m.
Created at: March 22, 2026, 3:53 p.m.