Triple

T432810
Position Surface form Disambiguated ID Type / Status
Subject Research Notes of the AAS E9749 entity
Predicate abbreviation P43 FINISHED
Object RNAAS E5037 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: RNAAS | Statement: [Research Notes of the AAS, abbreviation, RNAAS]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: RNAAS
Context triple: [Research Notes of the AAS, abbreviation, RNAAS]
  • A. RAE
    RAE is the commonly used acronym for the Royal Spanish Academy, the official institution responsible for regulating and overseeing the Spanish language.
  • B. RA
    RA is the commonly used abbreviation for the Royal Regiment of Artillery, a principal artillery branch of the British Army.
  • C. RSSAC
    RSSAC is the Root Server System Advisory Committee of ICANN, responsible for advising on the operation, administration, security, and integrity of the Internet’s root server system.
  • D. AAS chosen
    AAS is a major professional organization dedicated to the advancement of astronomy and related sciences in the United States.
  • E. AAS
    AAS is a pan-African scientific organization that promotes excellence in science, technology, and innovation to drive sustainable development across the African continent.
  • 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_69a2e801e1d48190b505d1dd336b52ac completed Feb. 28, 2026, 1:05 p.m.
NER Named-entity recognition batch_69a2ef084840819080653004b674cba8 completed Feb. 28, 2026, 1:35 p.m.
NED1 Entity disambiguation (via context triple) batch_69a431e395208190ab4d4d1c10c117f7 completed March 1, 2026, 12:32 p.m.
Created at: Feb. 28, 2026, 1:11 p.m.