Triple

T19111867
Position Surface form Disambiguated ID Type / Status
Subject PlusCal E467808 entity
Predicate hasControlConstruct P69545 FINISHED
Object if-then-else 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-then-else | Statement: [PlusCal, hasControlConstruct, if-then-else]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: hasControlConstruct
Context triple: [PlusCal, hasControlConstruct, if-then-else]
  • A. hasControlElement
    Indicates that one entity includes or is associated with a component specifically intended to control, regulate, or influence its behavior or operation.
  • B. hasControlBranch chosen
    Indicates that one entity possesses a controlling or decision-making branch or subdivision within another entity or system.
  • C. hasControlFields
    Indicates that one entity possesses or defines control-related parameters, settings, or fields that govern the behavior or configuration of another entity or process.
  • D. hasModuleConstruct
    Indicates that an entity includes, defines, or is composed of a specific module as one of its structural or functional components.
  • E. hasConstructor
    Indicates that an entity defines or is associated with a specific constructor used to create or initialize instances of it.
  • 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_69d8dd06a26481908039e2a1bae8c597 completed April 10, 2026, 11:20 a.m.
NER Named-entity recognition batch_69e5e394969c81909d09b2300ea0e041 completed April 20, 2026, 8:28 a.m.
PD Predicate disambiguation batch_69e4b9ac41848190afd0f33b42cebe99 completed April 19, 2026, 11:17 a.m.
Created at: April 10, 2026, 12:04 p.m.