Triple

T22325612
Position Surface form Disambiguated ID Type / Status
Subject Bolshoye Savino Airport E551893 entity
Predicate ICAOcode P419 FINISHED
Object USPP 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: USPP | Statement: [Bolshoye Savino Airport, ICAOcode, USPP]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: USPP
Context triple: [Bolshoye Savino Airport, ICAOcode, USPP]
  • A. USPP chosen
    USPP is the ICAO airport code assigned to Perm International Airport in Russia.
  • B. USPP
    USPP is the federal law enforcement agency responsible for policing and protecting U.S. national parks and certain federal lands, particularly in the Washington, D.C. area.
  • C. USPD
    The USPD (Independent Social Democratic Party of Germany) was a left-wing socialist party in early 20th-century Germany that split from the SPD over opposition to World War I and later played a key role in the country’s revolutionary politics.
  • D. USP
    USP is a common abbreviation for United States Penitentiary, a high-security federal prison facility in the United States.
  • E. USP
    USP is an interdisciplinary honors program at the National University of Singapore designed for academically talented undergraduates seeking a broad-based, rigorous education.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

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_69e11e482f788190b78d1588fc26d606 completed April 16, 2026, 5:37 p.m.
NER Named-entity recognition batch_69f15768696481909be124e86c23d551 completed April 29, 2026, 12:57 a.m.
Created at: April 16, 2026, 8:42 p.m.