Triple

T14373799
Position Surface form Disambiguated ID Type / Status
Subject Great Characters Edition Leonardo da Vinci E356420 entity
Predicate madeByCompanyHeadquarteredIn P4022 FINISHED
Object Hamburg E7419 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: Hamburg | Statement: [Great Characters Edition Leonardo da Vinci, madeByCompanyHeadquarteredIn, Hamburg]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Hamburg
Context triple: [Great Characters Edition Leonardo da Vinci, madeByCompanyHeadquarteredIn, Hamburg]
  • A. Hamburg chosen
    Hamburg is Germany’s second-largest city and a major northern European port and cultural center on the River Elbe.
  • B. Bremen
    Bremen is a city-state in northwestern Germany comprising the cities of Bremen and Bremerhaven, known for its historic Hanseatic heritage and major port on the Weser River.
  • C. Bremen
    Bremen is a small city in western Georgia, United States, known as a regional hub along major transportation routes and as part of the Atlanta metropolitan area’s outer region.
  • D. Gotenhafen
    Gotenhafen was the German name for the port city of Gdynia in occupied Poland during World War II, used as a major naval base by the Kriegsmarine.
  • E. Hamburg-Altona
    Hamburg-Altona is a major district and transportation hub in western Hamburg, Germany, known for its busy long-distance and regional train station and vibrant urban neighborhoods.
  • 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: madeByCompanyHeadquarteredIn
Context triple: [Great Characters Edition Leonardo da Vinci, madeByCompanyHeadquarteredIn, Hamburg]
  • A. usedByCompanyHeadquarteredIn
    Indicates that something (such as a product, service, or technology) is utilized by a company whose main headquarters is located in a specified place.
  • B. manufacturedBy chosen
    Indicates that an item or product is produced or created by a specific manufacturer or maker.
  • C. operatedByCompanyHeadquarteredIn
    Indicates that an entity is operated by a company whose headquarters is located in a specified place.
  • D. parentCompanyOfProducer
    Indicates that one company is the parent company that owns or controls a producer entity.
  • E. alsoManufacturedBy
    Indicates that an item or product is produced by an additional manufacturer beyond the primary or previously mentioned one.
  • 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_69d8279163a081908aec45c0e3f1e02f completed April 9, 2026, 10:26 p.m.
NER Named-entity recognition batch_69de9007184c8190aebb003cb6548cc8 completed April 14, 2026, 7:05 p.m.
NED1 Entity disambiguation (via context triple) batch_69fe729a48288190bf24503af6522677 completed May 8, 2026, 11:32 p.m.
PD Predicate disambiguation batch_69de2a9cb3e081909f6b33fdd939bb9e completed April 14, 2026, 11:53 a.m.
Created at: April 10, 2026, 1:15 a.m.