Triple

T7420809
Position Surface form Disambiguated ID Type / Status
Subject libwww E171239 entity
Predicate supportsProtocol P203 FINISHED
Object WAIS E662021 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: WAIS | Statement: [libwww, supportsProtocol, WAIS]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: WAIS
Context triple: [libwww, supportsProtocol, WAIS]
  • A. WAIS chosen
    WAIS (Wide Area Information Servers) is an early networked information retrieval system that allowed users to search and access distributed databases over the internet.
  • B. Sternberg
    Sternberg is a surname of German and Ashkenazi Jewish origin borne by various notable individuals across fields such as psychology, business, and the arts.
  • C. IQ
    IQ is the ISO 3166-1 alpha-2 country code for Iraq, used in international standards and country identification.
  • D. WAI
    WAI (Web Accessibility Initiative) is a World Wide Web Consortium (W3C) program that develops guidelines, resources, and standards to make the web accessible to people with disabilities.
  • E. Measurement of Intelligence
    Measurement of Intelligence is a foundational early 20th-century psychological work by Edward L. Thorndike that systematically explores how human intelligence can be quantified and assessed through empirical methods.
  • 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_69c68a625d048190af70eb8b63bec5a0 completed March 27, 2026, 1:47 p.m.
NER Named-entity recognition batch_69c6f2ebc520819087cfc2eb9dda0e17 completed March 27, 2026, 9:13 p.m.
NED1 Entity disambiguation (via context triple) batch_69c81ef7fc808190a564ab4d9d97ab37 completed March 28, 2026, 6:33 p.m.
Created at: March 27, 2026, 3:11 p.m.