Triple

T15864798
Position Surface form Disambiguated ID Type / Status
Subject Gatow E384682 entity
Predicate adjacentTo P224 FINISHED
Object Wilhelmstadt E384930 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: Wilhelmstadt | Statement: [Gatow, adjacentTo, Wilhelmstadt]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Wilhelmstadt
Context triple: [Gatow, adjacentTo, Wilhelmstadt]
  • A. Wilhelmstadt chosen
    Wilhelmstadt is a locality in the Spandau borough of Berlin, Germany, known for its residential character and proximity to the Havel River and surrounding green areas.
  • B. Laboe
    Laboe is a seaside town in northern Germany known for its Baltic Sea beaches and the Laboe Naval Memorial overlooking Kiel Bay.
  • C. Luisenstadt
    Luisenstadt is a historic former district of Berlin, Germany, known for its 19th-century urban development and significant cultural and architectural heritage.
  • D. Nassau-Dillenburg
    Nassau-Dillenburg was a German principality of the House of Nassau that played a notable role in early modern Protestant politics and the Reformation era.
  • E. Nassau-Dietz
    Nassau-Dietz was a cadet branch of the House of Nassau that ruled parts of the northern Netherlands and provided several stadtholders during the Dutch Republic.
  • 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_69d86da4e86481909f1325fdc971b5ec completed April 10, 2026, 3:25 a.m.
NER Named-entity recognition batch_69e1555e4ee48190a3b27b4ab9bdb1c8 completed April 16, 2026, 9:32 p.m.
NED1 Entity disambiguation (via context triple) batch_69ffa945d9808190a65f5182db341393 completed May 9, 2026, 9:38 p.m.
Created at: April 10, 2026, 4:50 a.m.