Triple

T9990272
Position Surface form Disambiguated ID Type / Status
Subject Rummelsburger See E196867 entity
Predicate hasAdjacentNeighborhood P5707 FINISHED
Object Rummelsburg E757155 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: Rummelsburg | Statement: [Rummelsburger See, hasAdjacentNeighborhood, Rummelsburg]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Rummelsburg
Context triple: [Rummelsburger See, hasAdjacentNeighborhood, Rummelsburg]
  • A. Rummelsburg chosen
    Rummelsburg is a locality in the Berlin borough of Lichtenberg, known for its lakeside setting along the Rummelsburger See and a mix of industrial heritage and newer residential developments.
  • B. Ritterhude
    Ritterhude is a small town in northern Germany’s Lower Saxony, situated just northwest of Bremen.
  • C. Bergheim
    Bergheim is a municipality in the Austrian state of Salzburg, located just north of the city of Salzburg and known for its suburban character and proximity to the regional capital.
  • D. Bergheim
    Bergheim is a town in western Germany situated along the Erft River, known for its historical center and proximity to the Cologne region.
  • E. Ringsheim
    Ringsheim is a small municipality in the Ortenau district of Baden-Württemberg, Germany, known for its proximity to the Europa-Park theme park and its location in the Upper Rhine region.
  • 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_69ca82f1678c819093d06320a05f16a4 completed March 30, 2026, 2:04 p.m.
NER Named-entity recognition batch_69cdc7a0cb6481908d7bd1b43f93bd18 completed April 2, 2026, 1:34 a.m.
NED1 Entity disambiguation (via context triple) batch_69e4cbacad608190adddd91f13e4113b completed April 19, 2026, 12:33 p.m.
Created at: March 30, 2026, 8:50 p.m.