Triple

T11417862
Position Surface form Disambiguated ID Type / Status
Subject Brugg E270538 entity
Predicate nearbyMunicipality P4647 FINISHED
Object Windisch E725490 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: Windisch | Statement: [Brugg, nearbyMunicipality, Windisch]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Windisch
Context triple: [Brugg, nearbyMunicipality, Windisch]
  • A. Windisch chosen
    Windisch is a municipality in the canton of Aargau in northern Switzerland, known for encompassing the site of the former Roman legionary camp of Vindonissa.
  • B. Brieg
    Brieg is a historic town in southwestern Poland, known today as Brzeg, that was formerly part of Germany’s Silesia region.
  • C. Weidenau
    Weidenau is a district of the city of Siegen in North Rhine-Westphalia, Germany.
  • D. Ochsenfeld
    Ochsenfeld is a German surname most notably borne by physicist Robert Ochsenfeld, known for his work on superconductivity.
  • E. Neudrossenfeld
    Neudrossenfeld is a municipality in the Kulmbach district of northern Bavaria, Germany, known for its rural character and Franconian cultural heritage.
  • 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_69d6aaddeaa8819088b30ef7b50598c9 completed April 8, 2026, 7:22 p.m.
NER Named-entity recognition batch_69d801b0236c81908122ce3fc7b4fde7 completed April 9, 2026, 7:44 p.m.
NED1 Entity disambiguation (via context triple) batch_69e5b87ca7408190a4962bbaf89222bf completed April 20, 2026, 5:24 a.m.
Created at: April 8, 2026, 9:34 p.m.