Triple

T4371819
Position Surface form Disambiguated ID Type / Status
Subject R E98913 entity
Predicate packageRepository P19956 FINISHED
Object R-Forge E426692 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: R-Forge | Statement: [R, packageRepository, R-Forge]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: R-Forge
Context triple: [R, packageRepository, R-Forge]
  • A. R-Forge chosen
    R-Forge is an online development and collaboration platform for R projects, providing tools for version control, bug tracking, and package building.
  • B. Debian Bug Tracking System
    The Debian Bug Tracking System is the platform used by the Debian project to report, track, and manage bugs and issues in its software packages.
  • C. Subversion
    Subversion is a centralized version control system used to manage and track changes to source code and other files in software development projects.
  • D. GNU Project
    The GNU Project is a free software initiative that created many core components of the GNU/Linux operating system and pioneered the modern free software movement.
  • E. Bugzilla
    Bugzilla is an open-source, web-based bug tracking and issue management system widely used by software development projects to report, track, and resolve defects.
  • 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_69b3454db3708190aeafd814413c4c3d completed March 12, 2026, 10:59 p.m.
NER Named-entity recognition batch_69b3521dffbc8190b9300a7f4f64bdc0 completed March 12, 2026, 11:54 p.m.
NED1 Entity disambiguation (via context triple) batch_69b5e50bcc9481909b0b9d60198dce63 completed March 14, 2026, 10:45 p.m.
Created at: March 12, 2026, 11:17 p.m.