Triple

T12900428
Position Surface form Disambiguated ID Type / Status
Subject MELPA E308597 entity
Predicate name P16 FINISHED
Object MELPA E308597 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: MELPA | Statement: [MELPA, name, MELPA]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: MELPA
Context triple: [MELPA, name, MELPA]
  • A. MELPA chosen
    MELPA is a popular community-maintained package repository for the Emacs text editor, offering a large collection of third-party extensions and tools.
  • B. GNU ELPA
    GNU ELPA is the official GNU Emacs Lisp Package Archive, providing a curated collection of free software packages for the Emacs editor.
  • C. GNU ELPA (via external packages depending on it)
    GNU ELPA (via external packages depending on it) is the official GNU Emacs package archive that distributes and manages a wide range of Emacs extensions and libraries.
  • D. GitHub Packages
    GitHub Packages is a software package hosting and management service integrated into GitHub, enabling developers to publish, share, and reuse packages alongside their source code and workflows.
  • E. Hackage
    Hackage is the central online package repository and distribution platform for the Haskell programming language’s libraries and tools.
  • 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_69d7bdf7c1f0819098102569a8d8cbf5 completed April 9, 2026, 2:55 p.m.
NER Named-entity recognition batch_69d97180ee708190b60a3e58c42f764f completed April 10, 2026, 9:54 p.m.
NED1 Entity disambiguation (via context triple) batch_69f6a56189b081909ed838addcb6d265 completed May 3, 2026, 1:31 a.m.
Created at: April 9, 2026, 5:40 p.m.