Triple

T19007223
Position Surface form Disambiguated ID Type / Status
Subject Brunswick, Georgia E465119 entity
Predicate namedAfter P63 FINISHED
Object Brunswick (Germany) E200439 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: Brunswick (Germany) | Statement: [Brunswick, Georgia, namedAfter, Brunswick (Germany)]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Brunswick (Germany)
Context triple: [Brunswick, Georgia, namedAfter, Brunswick (Germany)]
  • A. Brunswick, Germany chosen
    Brunswick, Germany is a historic city in Lower Saxony known for its medieval architecture, former status as a ducal residence, and role as an important commercial and cultural center in northern Germany.
  • B. Lüneburg, Germany
    Lüneburg, Germany is a historic Hanseatic town in Lower Saxony known for its medieval architecture, former salt trade wealth, and well-preserved old town.
  • C. Brühl, Germany
    Brühl, Germany is a town in North Rhine-Westphalia known for its UNESCO-listed Augustusburg and Falkenlust palaces and its proximity to Cologne.
  • D. 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.
  • E. Bremen
    Bremen is a small village in Fairfield County, Ohio, known for its historic charm and tight-knit rural community.
  • 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_69d8dd01a56c81909694a128c66b21d7 completed April 10, 2026, 11:20 a.m.
NER Named-entity recognition batch_69e5d6a561848190bd957f248471c191 completed April 20, 2026, 7:32 a.m.
NED1 Entity disambiguation (via context triple) batch_6a05b463d4a08190b15403ea0ad23682 completed May 14, 2026, 11:39 a.m.
Created at: April 10, 2026, 12:01 p.m.