Triple

T14777144
Position Surface form Disambiguated ID Type / Status
Subject SaBRE E347289 entity
Predicate acronym P43 FINISHED
Object SaBRE E347289 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: SaBRE | Statement: [SaBRE, acronym, SaBRE]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: SaBRE
Context triple: [SaBRE, acronym, SaBRE]
  • A. SaBRE chosen
    SaBRE (Supporting Britain’s Reservists and Employers) is a UK initiative that promotes, supports, and manages the relationship between the armed forces reservists and their civilian employers.
  • B. SABE
    SABE is the ICAO airport code for Aeroparque Jorge Newbery, a major domestic and regional airport serving Buenos Aires, Argentina.
  • C. SAB
    SAB is the School of American Ballet, a premier ballet academy in New York City that serves as the official training school for the New York City Ballet.
  • D. SAB
    SAB is the three-letter IATA airport code for Juancho E. Yrausquin Airport, the small Caribbean airport serving the island of Saba in the Netherlands.
  • E. SBV
    SBV is the central bank of Vietnam, responsible for issuing the national currency and overseeing the country’s monetary and banking systems.
  • 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_69d822e9b9e08190bedcc31a163fda82 completed April 9, 2026, 10:06 p.m.
NER Named-entity recognition batch_69dec817c39081909b08a0ffdfce9936 completed April 14, 2026, 11:04 p.m.
NED1 Entity disambiguation (via context triple) batch_69fe24b626c48190a6aa9eda43539246 completed May 8, 2026, 6 p.m.
Created at: April 10, 2026, 1:31 a.m.