Triple

T23161221
Position Surface form Disambiguated ID Type / Status
Subject Ziegelsee E578589 entity
Predicate near P350 FINISHED
Object Schwerin city center NE NERFINISHED

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: Schwerin city center | Statement: [Ziegelsee, near, Schwerin city center]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Schwerin city center
Context triple: [Ziegelsee, near, Schwerin city center]
  • A. Schwerin chosen
    Schwerin is a historic city in northern Germany known for its picturesque lakeside setting and landmark Schwerin Castle.
  • B. Schwerin Hauptbahnhof
    Schwerin Hauptbahnhof is the main railway station of the city of Schwerin in northern Germany, serving as a regional and long-distance transport hub.
  • C. Schwerin Castle
    Schwerin Castle is a historic lakeside palace in Schwerin, Germany, renowned for its fairy-tale architecture and role as the seat of the state parliament of Mecklenburg-Vorpommern.
  • D. Wernigerode
    Wernigerode is a picturesque German town in Saxony-Anhalt known for its colorful half-timbered houses, medieval castle, and location on the northern slopes of the Harz Mountains.
  • E. Hoyerswerda
    Hoyerswerda is a town in eastern Germany’s Saxony region, historically shaped by lignite mining and now known for its proximity to the emerging Lusatian lake landscape.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 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_69e245fc75348190a0288401044c8af8 completed April 17, 2026, 2:38 p.m.
NER Named-entity recognition batch_69f18f006930819097aafef87405d737 completed April 29, 2026, 4:54 a.m.
Created at: April 17, 2026, 4:02 p.m.