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.