Triple

T20306925
Position Surface form Disambiguated ID Type / Status
Subject Bösendorfer piano E510130 entity
Predicate hasManufacturerLocation P35004 FINISHED
Object Vienna NE NERFINISHED

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: Vienna | Statement: [Bösendorfer piano, hasManufacturerLocation, Vienna]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Vienna
Context triple: [Bösendorfer piano, hasManufacturerLocation, Vienna]
  • A. Vienna chosen
    Vienna is the capital city of Austria, renowned for its rich imperial history, classical music heritage, and vibrant cultural and intellectual life.
  • B. Vienna
    Vienna is the strong-willed saloon owner and central female protagonist in the 1954 Western film "Johnny Guitar."
  • C. Vienna
    Vienna is the ancient Roman name for the city of Vienne in southeastern France, which was an important Roman settlement and administrative center in Gaul.
  • D. Vienna
    Vienna is a suburban town in Fairfax County, Virginia, known for its residential neighborhoods, proximity to Washington, D.C., and access to the Washington Metro via the nearby Vienna/Fairfax–GMU station.
  • E. Vienna
    Vienna is a small town in Dane County, Wisconsin, known for its rural character and proximity to the Madison metropolitan area.
  • 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: hasManufacturerLocation
Context triple: [Bösendorfer piano, hasManufacturerLocation, Vienna]
  • A. manufacturerLocation chosen
    Indicates the geographic place where a product’s manufacturer is based or operates.
  • B. hasManufacturerHistory
    Indicates that there exists a record of past and/or current manufacturers associated with an entity, capturing changes or continuity in who produced it over time.
  • C. hasPrimaryProductionLocation
    Indicates that an entity’s main or principal place where it is produced or manufactured is a specified location.
  • D. usedManufacturer
    Indicates that an entity has employed or sourced products, components, or services from a particular manufacturer.
  • E. hasManufacturerHeadquartersIn
    Indicates that the location specified is the place where the manufacturer’s main headquarters is situated.
  • F. None of above.

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_69e0b4c7491c8190961113c4283b10b0 completed April 16, 2026, 10:07 a.m.
NER Named-entity recognition batch_69e6774068c08190824fa55438bab712 completed April 20, 2026, 6:58 p.m.
PD Predicate disambiguation batch_69e55b21b09081909e46691b6f45a07f completed April 19, 2026, 10:45 p.m.
Created at: April 16, 2026, 11:18 a.m.