Triple

T14439867
Position Surface form Disambiguated ID Type / Status
Subject FreeMarker templates E358057 entity
Predicate supportsControlStructure P4116 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: [FreeMarker templates, supportsControlStructure, if]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: supportsControlStructure
Context triple: [FreeMarker templates, supportsControlStructure, if]
  • A. controlStructure chosen
    Indicates a relationship where one entity governs, regulates, or directs the behavior, operation, or flow of another entity or process.
  • B. supportsStructure
    Indicates that one entity bears or provides physical support to another entity, helping to hold it up or maintain its structural stability.
  • C. structuralControlOn
    Indicates that one entity exerts structural influence or constraint over another, affecting its form, configuration, or organization.
  • D. supportsBlocksClosures
    Indicates that one entity provides compatibility or functionality for another entity’s use of blocks or closures.
  • E. supportsBlockBasedCoding
    Indicates that an entity provides or enables functionality for creating programs using a block-based visual coding interface.
  • 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_69d8279402a88190821ffa39ae15bccf completed April 9, 2026, 10:26 p.m.
NER Named-entity recognition batch_69de914c1398819090fa2a74d257ba3e completed April 14, 2026, 7:11 p.m.
PD Predicate disambiguation batch_69de5c3a02fc819097373f97a260cdeb completed April 14, 2026, 3:24 p.m.
Created at: April 10, 2026, 1:18 a.m.