Triple

T21907963
Position Surface form Disambiguated ID Type / Status
Subject Śiva-sūtras (phonological inventory) E540987 entity
Predicate isPrerequisiteForUnderstanding P12798 FINISHED
Object Pāṇini’s rule notation NE NERFINISHED

How this triple was built (4 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: Pāṇini’s rule notation | Statement: [Śiva-sūtras (phonological inventory), isPrerequisiteForUnderstanding, Pāṇini’s rule notation]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Pāṇini’s rule notation
Context triple: [Śiva-sūtras (phonological inventory), isPrerequisiteForUnderstanding, Pāṇini’s rule notation]
  • A. Augmented Backus–Naur Form
    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.
  • B. 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.
  • C. Stokoe notation
    Stokoe notation is a system for transcribing the structure and components of sign languages using written symbols.
  • D. Aho–Ullman algorithms for parsing
    Aho–Ullman algorithms for parsing are foundational compiler-construction techniques that efficiently analyze and translate the syntactic structure of programming languages based on formal grammar theory.
  • E. Mathematical Structures of Language
    Mathematical Structures of Language is a foundational work in mathematical linguistics that applies formal and algebraic methods to analyze the structure of natural languages.
  • F. None of above. chosen
  • G. Unsure - the case is ambiguous/there is not enough information to decide.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Pāṇini’s rule notation
Target entity description: Pāṇini’s rule notation is a highly systematic, symbol-based framework for expressing Sanskrit grammatical rules with extreme brevity and precision.
  • A. Augmented Backus–Naur Form
    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.
  • B. 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.
  • C. Stokoe notation
    Stokoe notation is a system for transcribing the structure and components of sign languages using written symbols.
  • D. Aho–Ullman algorithms for parsing
    Aho–Ullman algorithms for parsing are foundational compiler-construction techniques that efficiently analyze and translate the syntactic structure of programming languages based on formal grammar theory.
  • E. Mathematical Structures of Language
    Mathematical Structures of Language is a foundational work in mathematical linguistics that applies formal and algebraic methods to analyze the structure of natural languages.
  • F. None of above. chosen
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: isPrerequisiteForUnderstanding
Context triple: [Śiva-sūtras (phonological inventory), isPrerequisiteForUnderstanding, Pāṇini’s rule notation]
  • A. canBeUnderstoodBy
    Indicates that something is comprehensible or interpretable to a particular entity or group.
  • B. requiresPractice
    Indicates that performing or mastering one entity depends on engaging in repeated practice or training involving another entity.
  • C. areNecessaryFor
    Indicates that one entity is required or must exist for another entity, condition, or outcome to occur or be possible.
  • D. requiredReadingFor chosen
    Indicates that one item (such as a text or resource) must be read as a mandatory prerequisite or component for engaging with, understanding, or completing another item (such as a course, assignment, or program).
  • E. isNotRequiredFor
    Indicates that one entity is not necessary or mandatory for the existence, occurrence, validity, or completion of another entity or process.
  • 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_69e0c47b4e8c81908c8076eaa4c8e4f2 completed April 16, 2026, 11:14 a.m.
NER Named-entity recognition batch_69f121d806688190b23502aacbfde4bd completed April 28, 2026, 9:08 p.m.
PD Predicate disambiguation batch_69e6be9ebf4c8190892df1a8e1313f88 completed April 21, 2026, 12:02 a.m.
Created at: April 16, 2026, 7:39 p.m.