Triple

T6669229
Position Surface form Disambiguated ID Type / Status
Subject Pratt & Whitney Hornet E151682 entity
Predicate licensedForProductionIn P45762 FINISHED
Object Poland E5029 NE FINISHED

How this triple was built (3 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: Poland | Statement: [Pratt & Whitney Hornet, licensedForProductionIn, Poland]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Poland
Context triple: [Pratt & Whitney Hornet, licensedForProductionIn, Poland]
  • A. Poland chosen
    Poland is a Central European country known for its rich medieval heritage, resilient culture, and pivotal role in 20th-century history, including being the site of the outbreak of World War II.
  • B. Polonia
    Polonia refers to the global community of people of Polish origin living outside Poland, encompassing their cultural, social, and political organizations worldwide.
  • C. Polón
    Polón is a Finnish surname most notably associated with Eduard Polón, an industrialist and co-founder of the company that became part of Nokia.
  • D. Poland and Czech Republic
    Poland and the Czech Republic are neighboring Central European countries known for their shared history, cultural ties, and extensive cross-border rail connections.
  • E. Poland and Germany
    Poland and Germany are neighboring Central European countries with deep historical ties and extensive cross-border economic, cultural, and transportation connections.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: licensedForProductionIn
Context triple: [Pratt & Whitney Hornet, licensedForProductionIn, Poland]
  • A. licenseProduction chosen
    Indicates that one party is authorized to manufacture or produce something under a license granted by another party.
  • B. licenseBuiltAs
    Indicates that one entity is constructed, configured, or deployed under the terms or identity of another entity’s license.
  • C. eligibleProductionType
    Indicates that a given entity qualifies for or is allowed to participate in a specified type or category of production.
  • D. licenseBuiltIn
    Indicates that a license is inherently included within or comes standard as part of another product, service, or system rather than being added separately.
  • E. isProductionReady
    Indicates that something has met all necessary quality, stability, and performance criteria to be safely deployed and used in a live production environment.
  • F. None of above.

Provenance (4 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_69c687f71fc081909dbd45d6377f6045 completed March 27, 2026, 1:36 p.m.
NER Named-entity recognition batch_69c6ce738fe88190a5557900efeec7ec completed March 27, 2026, 6:37 p.m.
NED1 Entity disambiguation (via context triple) batch_69c6eece13088190a49a72d5a784f6f8 completed March 27, 2026, 8:55 p.m.
PD Predicate disambiguation batch_69c6ad09974c81908784300ae218961f completed March 27, 2026, 4:15 p.m.
Created at: March 27, 2026, 2:02 p.m.