Triple

T18798610
Position Surface form Disambiguated ID Type / Status
Subject OpenURL E459702 entity
Predicate hasVersion P455 FINISHED
Object OpenURL 1.0 NE NERFINISHED

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: OpenURL 1.0 | Statement: [OpenURL, hasVersion, OpenURL 1.0]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: OpenURL 1.0
Context triple: [OpenURL, hasVersion, OpenURL 1.0]
  • A. OpenURL chosen
    OpenURL is a standardized format for creating web links that transport bibliographic and resource metadata between information services to enable context-sensitive linking.
  • B. OAI-PMH
    OAI-PMH (Open Archives Initiative Protocol for Metadata Harvesting) is a low-barrier protocol used to collect and share metadata from repositories to enable interoperable discovery of scholarly and other digital resources.
  • C. Crossref
    Crossref is a nonprofit organization that provides persistent digital identifiers and metadata services for scholarly content to support reliable citation linking and research discovery.
  • D. PURL
    PURL (Persistent Uniform Resource Locator) is a system for creating stable, long-lasting web addresses that redirect to the current location of digital resources.
  • E. BibDesk
    BibDesk is a macOS reference management application designed to help users organize and cite bibliographic data, especially for LaTeX documents.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 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_69d8d398c7d4819091cb2f7e48948aeb completed April 10, 2026, 10:40 a.m.
NER Named-entity recognition batch_69e5a0215084819086bce60f95d08409 completed April 20, 2026, 3:40 a.m.
Created at: April 10, 2026, 11:53 a.m.