Triple

T22584518
Position Surface form Disambiguated ID Type / Status
Subject Hamburg Town Park E564750 entity
Predicate ownedBy P347 FINISHED
Object Town of Hamburg E1105834 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: Town of Hamburg | Statement: [Hamburg Town Park, ownedBy, Town of Hamburg]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Town of Hamburg
Context triple: [Hamburg Town Park, ownedBy, Town of Hamburg]
  • A. Town of Hamburg chosen
    The Town of Hamburg is a suburban municipality in Erie County, New York, located just south of Buffalo along the shores of Lake Erie.
  • B. Eidelstedt
    Eidelstedt is a district in the northwestern part of Hamburg, Germany, known for its residential areas and local shopping centers.
  • C. Village of Bremen
    The Village of Bremen is a small incorporated community located in Fairfield County, Ohio, known for its residential character and local small-town amenities.
  • D. Wallhausen
    Wallhausen is a village in present-day Saxony-Anhalt, Germany, historically notable as the birthplace of Otto I, Holy Roman Emperor.
  • E. Friedrichstadt
    Friedrichstadt is a historic canal town in northern Germany’s Schleswig-Holstein, known for its Dutch-style architecture and waterways.
  • 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_69e245836014819091b91ed3074742a3 completed April 17, 2026, 2:36 p.m.
NER Named-entity recognition batch_69f1615b4fa08190a8d2d66e01db429f completed April 29, 2026, 1:39 a.m.
NED1 Entity disambiguation (via context triple) batch_6a0b3d56621c81908af9a97ac77c15ba completed May 18, 2026, 4:24 p.m.
Created at: April 17, 2026, 2:44 p.m.