Triple

T17522280
Position Surface form Disambiguated ID Type / Status
Subject PEP 508 E426702 entity
Predicate environmentMarkerExample P127791 FINISHED
Object python_version == "3.8" 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: python_version == "3.8" | Statement: [PEP 508, environmentMarkerExample, python_version == "3.8"]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: environmentMarkerExample
Context triple: [PEP 508, environmentMarkerExample, python_version == "3.8"]
  • A. environmentVariable
    Indicates that one entity is an environment variable associated with, defined for, or used by another entity (such as a process, application, or system).
  • B. launchEnvironment
    Indicates the specific context, configuration, or setting in which a launch or deployment action takes place.
  • C. usedInEnvironment
    Indicates that something is utilized or operates within a particular environment or context.
  • D. supportsEnvironmentMapping
    Indicates that one entity provides or enables environment mapping functionality for another entity or context.
  • E. environmentType
    Indicates the kind or category of environment associated with an entity or situation.
  • 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_69d889de677081909b22d2657b1f0292 completed April 10, 2026, 5:25 a.m.
NER Named-entity recognition batch_69e452d40ee08190b79d8e3d7f1b1272 completed April 19, 2026, 3:58 a.m.
PD Predicate disambiguation batch_69e3b4f8b9888190aa8a45e09acf4319 completed April 18, 2026, 4:44 p.m.
PDg Predicate description generation batch_69e3bbb37d148190b7f38599c06594ee completed April 18, 2026, 5:13 p.m.
Created at: April 10, 2026, 5:49 a.m.