Triple

T20722
Position Surface form Disambiguated ID Type / Status
Subject World Wide Web E411 entity
Predicate alsoKnownAs P39 FINISHED
Object the Web E411 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: the Web | Statement: [World Wide Web, alsoKnownAs, the Web]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: the Web
Context triple: [World Wide Web, alsoKnownAs, the Web]
  • A. the internet
    The internet is a global network of interconnected computers and servers that enables worldwide communication, information sharing, and access to digital services.
  • B. World Wide Web chosen
    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.
  • C. WAS
    WAS is the standard three-letter abbreviation used for the Washington Commanders NFL franchise.
  • D. WAS
    WAS is the station code for Washington, D.C.’s main intercity and commuter rail hub, Union Station.
  • E. World Wide Web Foundation
    The World Wide Web Foundation is a nonprofit organization dedicated to advancing an open, accessible, and rights-based web for everyone worldwide.
  • 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_69a240778d288190815c0052ebbbcc91 completed Feb. 28, 2026, 1:10 a.m.
NER Named-entity recognition batch_69a24669427481908b3369f090ea8edc completed Feb. 28, 2026, 1:35 a.m.
NED1 Entity disambiguation (via context triple) batch_69a24e57e3fc8190a3ce561a4692115c completed Feb. 28, 2026, 2:09 a.m.
Created at: Feb. 28, 2026, 1:14 a.m.