Triple

T9515326
Position Surface form Disambiguated ID Type / Status
Subject Mosaic E229509 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: [Mosaic, supportsProtocol, WAIS]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: WAIS
Context triple: [Mosaic, 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_69ca84777560819084cddd999badc1aa completed March 30, 2026, 2:11 p.m.
NER Named-entity recognition batch_69cd986d5af08190a001c5a5ff647d4d completed April 1, 2026, 10:13 p.m.
NED1 Entity disambiguation (via context triple) batch_69d13a44c3c08190a09277737c7a98e0 completed April 4, 2026, 4:20 p.m.
Created at: March 30, 2026, 7:58 p.m.