Triple

T30250415
Position Surface form Disambiguated ID Type / Status
Subject RU-SPE E769183 entity
Predicate codeElementType P169023 FINISHED
Object alphanumeric 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: alphanumeric | Statement: [RU-SPE, codeElementType, alphanumeric]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: codeElementType
Context triple: [RU-SPE, codeElementType, alphanumeric]
  • A. codecsElementType
    Indicates the specific type or category of an element within a codec or encoding structure.
  • B. codeType
    Indicates the classification or category assigned to a particular code within a coding or encoding system.
  • C. codeElementFor
    Indicates a relationship where one entity serves as the code element (e.g., function, class, or snippet) that implements, represents, or is associated with another entity.
  • D. codeUnitType
    Indicates the specific kind or category of a code unit (such as a file, class, method, or module) that a given element belongs to.
  • E. logicElementType
    Indicates that one entity is classified as a specific type or category of logical element in relation to another.
  • F. None of above. chosen

Provenance (4 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_69f224831dc08190b2e569b987264057 completed April 29, 2026, 3:32 p.m.
NER Named-entity recognition batch_69f6807ab42c819098d70c25bfc42ffd completed May 2, 2026, 10:53 p.m.
PD Predicate disambiguation batch_69f6760216108190bbb708d53a6c2c25 completed May 2, 2026, 10:09 p.m.
PDg Predicate description generation batch_69f676c35f3481909b9ba18a5662d6ce completed May 2, 2026, 10:12 p.m.
Created at: April 29, 2026, 7:40 p.m.