Triple

T1806607
Position Surface form Disambiguated ID Type / Status
Subject FRSE E40233 entity
Predicate relatedTo P37 FINISHED
Object FRS E6383 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: FRS | Statement: [FRSE, relatedTo, FRS]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: FRS
Context triple: [FRSE, relatedTo, FRS]
  • A. FRS chosen
    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.
  • B. FRSC
    FRSC is the post-nominal designation used by Fellows of the Royal Society of Canada, recognizing outstanding scholarly, scientific, or artistic achievement.
  • C. FRSA
    FRSA is the post-nominal designation for a Fellow of the Royal Society of Arts, an honor recognizing significant contributions to social progress and development in the arts, manufacturing, and commerce.
  • D. FRD
    FRD is the station code for a railway station named after U.S. President Franklin D. Roosevelt.
  • E. FRNs
    FRNs are U.S. Treasury floating rate notes whose interest payments adjust periodically based on short-term interest rate benchmarks.
  • 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_69a88643a3388190a612f2ebe1fb29e7 completed March 4, 2026, 7:21 p.m.
NER Named-entity recognition batch_69aa6598bd388190b5aa69b972cc8f0a completed March 6, 2026, 5:26 a.m.
NED1 Entity disambiguation (via context triple) batch_69adb5df20948190943a60c209270b62 completed March 8, 2026, 5:46 p.m.
Created at: March 4, 2026, 7:32 p.m.