Triple

T18301799
Position Surface form Disambiguated ID Type / Status
Subject FRAD E438374 entity
Predicate relatedTo P37 FINISHED
Object FRSAD 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: FRSAD | Statement: [FRAD, relatedTo, FRSAD]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: FRSAD
Context triple: [FRAD, relatedTo, FRSAD]
  • A. FRSAD chosen
    FRSAD (Functional Requirements for Subject Authority Data) is an IFLA conceptual model that defines how subject authority data should be structured and related to support effective subject access in library and information systems.
  • B. FRS
    FRS is the post-nominal title used by Fellows of the Royal Society, denoting distinguished scientists elected to the United Kingdom’s national academy of sciences.
  • C. FRAS
    FRAS is a professional post-nominal title indicating fellowship in the Royal Astronomical Society, typically awarded to individuals who have made significant contributions to astronomy or geophysics.
  • D. FRAD
    FRAD (Functional Requirements for Authority Data) is an IFLA conceptual model that defines how authority data about names, titles, and subjects should be structured and related to support library cataloging and information retrieval.
  • E. FASR
    FASR is an academic faculty specializing in aerophysics and space research, focusing on the study of atmospheric and space-related physical phenomena and technologies.
  • 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_69d8b915e3e881909125d760c15d0c29 completed April 10, 2026, 8:47 a.m.
NER Named-entity recognition batch_69e50180ac48819090e9a8f11ba10c3d completed April 19, 2026, 4:23 p.m.
Created at: April 10, 2026, 10:35 a.m.