Triple

T10828033
Position Surface form Disambiguated ID Type / Status
Subject Python visual identity E255542 entity
Predicate subjectOf P38 FINISHED
Object Python branding guidelines E255542 NE 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 branding guidelines | Statement: [Python visual identity, subjectOf, Python branding guidelines]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Python branding guidelines
Context triple: [Python visual identity, subjectOf, Python branding guidelines]
  • A. Python wordmark
    The Python wordmark is the official stylized text logo representing the Python programming language and its brand.
  • B. Python visual identity chosen
    Python visual identity is the cohesive set of visual design elements—such as logos, colors, and typography—that represent and brand the Python programming language across media and platforms.
  • C. PEP 8
    PEP 8 is the official Python style guide that defines conventions for writing readable, consistent Python code.
  • D. Logo
    Logo is an educational programming language known for its turtle graphics, designed to help learners explore mathematical and computational ideas through simple commands.
  • E. The Logo
    The Logo is the famous nickname of NBA legend Jerry West, referencing his iconic silhouette used in the league’s official logo.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

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_69d6aa8081448190a9324184f2bd1c26 completed April 8, 2026, 7:20 p.m.
NER Named-entity recognition batch_69d734d2b9f88190b79a7b168d7836c8 completed April 9, 2026, 5:10 a.m.
NED1 Entity disambiguation (via context triple) batch_69de8592d8f08190ac577395ad7cc557 completed April 14, 2026, 6:21 p.m.
Created at: April 8, 2026, 9:19 p.m.