Triple

T2560333
Position Surface form Disambiguated ID Type / Status
Subject Royal Aeronautical Society E57225 entity
Predicate hasAbbreviation P43 FINISHED
Object RAeS E278123 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: RAeS | Statement: [Royal Aeronautical Society, hasAbbreviation, RAeS]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: RAeS
Context triple: [Royal Aeronautical Society, hasAbbreviation, RAeS]
  • A. RAeS chosen
    RAeS is the commonly used abbreviation for the Royal Aeronautical Society, a leading professional institution dedicated to the aerospace and aviation community.
  • B. RAE
    RAE is the commonly used acronym for the Royal Spanish Academy, the official institution responsible for regulating and overseeing the Spanish language.
  • C. RSE
    RSE is the commonly used abbreviation for the Royal Society of Edinburgh, Scotland’s national academy of science and letters.
  • D. RAEOA
    RAEOA is the autonomous administrative region of Oecusse in Timor-Leste, formally known as the Special Administrative Region of Oecusse-Ambeno.
  • E. RSCE
    RSCE is a United Nations regional administrative and support hub based in Entebbe, Uganda, that provides shared services to UN missions and offices in Africa.
  • 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_69ab4a4ef9008190a0e6d4422b9418b7 completed March 6, 2026, 9:42 p.m.
NER Named-entity recognition batch_69abd334b69481908a6f2c0b41550ce9 completed March 7, 2026, 7:26 a.m.
NED1 Entity disambiguation (via context triple) batch_69af655f72fc81908a85a69f95d0b827 completed March 10, 2026, 12:27 a.m.
Created at: March 6, 2026, 9:48 p.m.