Triple

T4443114
Position Surface form Disambiguated ID Type / Status
Subject General registry E96217 entity
Predicate partOf P40 FINISHED
Object Julia package ecosystem E17648 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: Julia package ecosystem | Statement: [General registry, partOf, Julia package ecosystem]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Julia package ecosystem
Context triple: [General registry, partOf, Julia package ecosystem]
  • A. Julia
    Julia is a feminine given name of Latin origin, commonly used in many languages and cultures.
  • B. Julia
    "Julia" is a 1977 American drama film, based on Lillian Hellman’s memoir, that explores the intense lifelong friendship between a playwright and a woman involved in anti-fascist resistance before World War II.
  • C. Julia chosen
    Julia is a high-level, high-performance programming language designed for numerical computing, data science, and scientific research, combining the ease of dynamic languages with the speed of compiled languages.
  • 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. Python packaging ecosystem
    The Python packaging ecosystem is the collection of tools, standards, and services that enable building, distributing, and installing Python software packages, including components like package formats, repositories, and upload utilities.
  • 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_69b345415ba481908df738e7174448ba completed March 12, 2026, 10:59 p.m.
NER Named-entity recognition batch_69b355aef21c819088f168a23f1933a6 completed March 13, 2026, 12:09 a.m.
NED1 Entity disambiguation (via context triple) batch_69b61382d00481908b7c84f337b5cad7 completed March 15, 2026, 2:03 a.m.
Created at: March 12, 2026, 11:32 p.m.