Triple

T34594906
Position Surface form Disambiguated ID Type / Status
Subject CPython Git repository E888282 entity
Predicate mirrorOf P119587 FINISHED
Object historical CPython Subversion repository 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: historical CPython Subversion repository | Statement: [CPython Git repository, mirrorOf, historical CPython Subversion repository]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: mirrorOf
Context triple: [CPython Git repository, mirrorOf, historical CPython Subversion repository]
  • A. mirroredBy chosen
    Indicates that one entity serves as a reflective counterpart or reversed representation of another.
  • B. logicalMirrorOf
    Indicates that one entity is the logical counterpart or inverse of another, such that their logical structures correspond in a mirrored or dual manner.
  • C. mirroredOn
    Indicates that one entity is a reflective counterpart of another, such that its structure, appearance, or configuration is reversed or symmetrically aligned relative to the other.
  • D. mirroredAt
    Indicates that one entity is a mirror image or reflection of another entity with respect to a specified axis, plane, or point.
  • E. mirrorsBehaviorOf
    Indicates that one entity’s behavior closely reflects, imitates, or corresponds to the behavior of another entity.
  • 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_69f349d3bfcc81909874c99e646fb3ea completed April 30, 2026, 12:23 p.m.
NER Named-entity recognition batch_69f7234bcaa48190ac970759d34e254a completed May 3, 2026, 10:28 a.m.
PD Predicate disambiguation batch_69f72155c48881909bd40b9aa3febd5a completed May 3, 2026, 10:20 a.m.
Created at: May 1, 2026, 2:03 a.m.