Triple

T18276378
Position Surface form Disambiguated ID Type / Status
Subject SHA-1 E437745 entity
Predicate usedIn P98 FINISHED
Object Git NE NERFINISHED

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: Git | Statement: [SHA-1, usedIn, Git]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Git
Context triple: [SHA-1, usedIn, Git]
  • A. Git chosen
    Git is a widely used distributed version control system designed to efficiently track changes in source code and support collaborative software development.
  • B. Pro Git
    Pro Git is a comprehensive, freely available book that serves as a widely used guide to the Git version control system for developers of all levels.
  • C. GitHub
    GitHub is a widely used web-based platform for version control and collaborative software development, built around the Git system and popular among open-source and enterprise projects.
  • D. Git-R-Done
    Git-R-Done is a stand-up comedy album by American comedian Larry the Cable Guy, featuring his signature blue-collar humor and catchphrase-driven routines.
  • E. Bitbucket
    Bitbucket is a web-based platform for hosting Git repositories that provides source code management, collaboration tools, and integration with development workflows.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 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_69d8b914530c8190b4474d862a2b2a1b completed April 10, 2026, 8:47 a.m.
NER Named-entity recognition batch_69e500528bb88190a9f9ba6428cc2076 completed April 19, 2026, 4:18 p.m.
Created at: April 10, 2026, 10:34 a.m.