Triple

T1490501
Position Surface form Disambiguated ID Type / Status
Subject Arena E29565 entity
Predicate uses P98 FINISHED
Object libwww E171239 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: libwww | Statement: [Arena, uses, libwww]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: libwww
Context triple: [Arena, uses, libwww]
  • A. libwww chosen
    libwww is a modular, open-source HTTP client library developed by the World Wide Web Consortium (W3C) that provides core web protocol functionality for applications.
  • B. WorldWideWeb (web browser)
    WorldWideWeb was the first web browser and editor, created in 1990 as the original client for navigating and editing content on the World Wide Web.
  • C. World Wide Web
    The World Wide Web is a global system of interlinked hypertext documents and resources accessed via the internet, enabling users worldwide to browse, share, and interact with information through web browsers.
  • D. LWP
    LWP is the abbreviation for the Polish People’s Army, the communist-era armed forces of Poland that existed from the end of World War II until 1989.
  • E. GNU Wget
    GNU Wget is a free, command-line utility for non-interactive downloading of files from the web, supporting HTTP, HTTPS, and FTP protocols.
  • 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_69a498da82e08190ba833330d05f380f completed March 1, 2026, 7:51 p.m.
NER Named-entity recognition batch_69a4c6c233ec819087e1233af02aabfc completed March 1, 2026, 11:07 p.m.
NED1 Entity disambiguation (via context triple) batch_69ad232f4b80819095a608816d4d2a34 completed March 8, 2026, 7:20 a.m.
Created at: March 1, 2026, 8:12 p.m.