Triple

T19703652
Position Surface form Disambiguated ID Type / Status
Subject ParserFunctions E473155 entity
Predicate addsParserFunction P47142 FINISHED
Object #if 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: #if | Statement: [ParserFunctions, addsParserFunction, #if]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: addsParserFunction
Context triple: [ParserFunctions, addsParserFunction, #if]
  • A. PLEXFunction
    Indicates a functional or operational role that one entity performs or serves for another within a system or context.
  • B. addsScript chosen
    Indicates that one entity attaches or incorporates a script (code or instructions) into another entity, enabling additional behavior or functionality.
  • C. metaFunction
    Indicates that one function operates on, describes, or manipulates other functions or their behavior at a higher (meta) level.
  • D. associatedFunction
    Indicates that one entity has a related or linked function that is conceptually or operationally connected to it.
  • E. registryFunction
    Indicates a function that is responsible for registering or recording entities, configurations, or events within a registry or central management system.
  • 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_69d8e516dd048190a0b6c93ea3e71f58 completed April 10, 2026, 11:55 a.m.
NER Named-entity recognition batch_69e642b8707081908fbf96c989d2d52d completed April 20, 2026, 3:14 p.m.
PD Predicate disambiguation batch_69e530438c60819082364c7be3eef6f0 completed April 19, 2026, 7:42 p.m.
Created at: April 10, 2026, 1:46 p.m.