Triple

T4425805
Position Surface form Disambiguated ID Type / Status
Subject RDA E95205 entity
Predicate basedOn P98 FINISHED
Object 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.
 E438374 NE FINISHED

How this triple was built (4 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: FRAD | Statement: [RDA, basedOn, FRAD]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: FRAD
Context triple: [RDA, basedOn, FRAD]
  • A. 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.
  • B. FRD
    FRD is the station code for a railway station named after U.S. President Franklin D. Roosevelt.
  • C. FRE
    FRE is the standard abbreviation used for the Fremantle Dockers, an Australian Football League (AFL) club based in Fremantle, Western Australia.
  • D. FRE
    FRE is the standard abbreviation used for the Fresno Grizzlies minor league baseball team.
  • E. 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.
  • F. None of above. chosen
  • G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg Description generation gpt-5.1
Instruction
Generate a one-sentence description of the target entity. 
You are given a context triple in the form (subject, predicate, object), where the object is the target entity. 
# Instructions
Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. 
Avoid repeating the information from the triple, unless really essential.
# Response Format
Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: FRAD
Triple: [RDA, basedOn, FRAD]
Generated description
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.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: FRAD
Target entity description: 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.
  • A. 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.
  • B. FRD
    FRD is the station code for a railway station named after U.S. President Franklin D. Roosevelt.
  • C. FRE
    FRE is the standard abbreviation used for the Fremantle Dockers, an Australian Football League (AFL) club based in Fremantle, Western Australia.
  • D. FRE
    FRE is the standard abbreviation used for the Fresno Grizzlies minor league baseball team.
  • E. 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.
  • F. None of above. chosen

Provenance (5 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_69b3453c2a0c8190926b574c90766db9 completed March 12, 2026, 10:59 p.m.
NER Named-entity recognition batch_69b3554e40ec8190982acc0948da2f42 completed March 13, 2026, 12:07 a.m.
NED1 Entity disambiguation (via context triple) batch_69b5f633a69c8190b062c2a78b0f8319 completed March 14, 2026, 11:58 p.m.
NEDg Description generation batch_69b5f6bcfa0481909d07ffb2a975a350 completed March 15, 2026, 12:01 a.m.
NED2 Entity disambiguation (via description) batch_69b5f733c660819081c68dc3ec342e12 completed March 15, 2026, 12:02 a.m.
Created at: March 12, 2026, 11:30 p.m.