Triple

T2314066
Position Surface form Disambiguated ID Type / Status
Subject PyCon US E51021 entity
Predicate hashtag P9354 FINISHED
Object #PyConUS E51021 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: #PyConUS | Statement: [PyCon US, hashtag, #PyConUS]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: #PyConUS
Context triple: [PyCon US, hashtag, #PyConUS]
  • A. PyCon US chosen
    PyCon US is the largest annual conference for the Python programming community in the United States, featuring talks, tutorials, sprints, and networking for developers and enthusiasts.
  • B. Python Consortium
    The Python Consortium was an early industry-backed organization that coordinated corporate support and development for the Python programming language before its role was taken over by the Python Software Foundation.
  • C. Python Software Foundation
    The Python Software Foundation is a non-profit organization that manages the development, licensing, and community support of the Python programming language.
  • D. Code for America
    Code for America is a nonprofit organization that partners with governments to improve public services through user-centered design, open-source technology, and civic tech innovation.
  • E. Python community
    The Python community is the global network of developers, users, and contributors who collaboratively build, maintain, and advance the Python programming language and its ecosystem.
  • 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_69a88b074b908190ae983dbca7757d88 completed March 4, 2026, 7:41 p.m.
NER Named-entity recognition batch_69abc61c1ef08190911d5f58c2e91189 completed March 7, 2026, 6:30 a.m.
NED1 Entity disambiguation (via context triple) batch_69ae895f5420819087b403e9772dce9a completed March 9, 2026, 8:48 a.m.
Created at: March 4, 2026, 7:49 p.m.