Triple

T6610545
Position Surface form Disambiguated ID Type / Status
Subject ARSM diploma E149225 entity
Predicate abbreviation P43 FINISHED
Object ARSM E149225 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: ARSM | Statement: [ARSM diploma, abbreviation, ARSM]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: ARSM
Context triple: [ARSM diploma, abbreviation, ARSM]
  • A. ARSM diploma chosen
    The ARSM diploma is an Associate of the Royal Schools of Music performance qualification that bridges the gap between Grade 8 and higher-level music diplomas, focusing on extended recital skills.
  • B. AVSM
    AVSM is the post-nominal abbreviation used by recipients of the Ati Vishisht Seva Medal, a high-level Indian military decoration for distinguished service.
  • C. ARS
    ARS is the commonly used acronym for the Sicilian Regional Assembly, the legislative body of the autonomous region of Sicily in Italy.
  • D. ARS
    ARS is the principal in-house research agency of the United States Department of Agriculture, conducting scientific studies to improve agriculture, food safety, and environmental quality.
  • E. ASSM
    ASSM is the abbreviation for the Swiss Academy of Medical Sciences, a leading Swiss institution that promotes medical research, ethics, and healthcare policy.
  • 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_69c687ebc680819094caf71faba2efe2 completed March 27, 2026, 1:36 p.m.
NER Named-entity recognition batch_69c6af34d9188190a40f682f985b0bac completed March 27, 2026, 4:24 p.m.
NED1 Entity disambiguation (via context triple) batch_69c6e43f14148190882b9b8f2f95e22c completed March 27, 2026, 8:10 p.m.
Created at: March 27, 2026, 1:57 p.m.