Triple

T18858394
Position Surface form Disambiguated ID Type / Status
Subject AAS E461238 entity
Predicate abbreviation P43 FINISHED
Object AAS NE NERFINISHED

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: AAS | Statement: [AAS, abbreviation, AAS]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: AAS
Context triple: [AAS, abbreviation, AAS]
  • A. AAS
    AAS is a major professional organization dedicated to the advancement of astronomy and related sciences in the United States.
  • B. AAS
    AAS is a pan-African scientific organization that promotes excellence in science, technology, and innovation to drive sustainable development across the African continent.
  • C. AAS
    AAS is a federal acquisition organization that provides assisted procurement and contracting services to U.S. government agencies.
  • D. AAS
    AAS is a leading Australian scientific organization that promotes excellence in science, provides independent advice on scientific issues, and supports science education and public engagement.
  • E. AAS
    AAS is the abbreviation for the Austrian Academy of Sciences, Austria’s leading non-university institution for science and research.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide. chosen

Provenance (2 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_69d8dcfb7b9c8190854e7b171b98ea2e completed April 10, 2026, 11:20 a.m.
NER Named-entity recognition batch_69e5c05eaee881909da704cf1374158c completed April 20, 2026, 5:57 a.m.
Created at: April 10, 2026, 11:57 a.m.