Triple

T2623622
Position Surface form Disambiguated ID Type / Status
Subject Walter Ulbricht E59065 entity
Predicate placeOfDeath P21 FINISHED
Object Döllnsee E154443 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: Döllnsee | Statement: [Walter Ulbricht, placeOfDeath, Döllnsee]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Döllnsee
Context triple: [Walter Ulbricht, placeOfDeath, Döllnsee]
  • A. Großer Döllnsee chosen
    Großer Döllnsee is a large lake in Brandenburg, Germany, situated in a forested area of the Schorfheide region.
  • B. Würmsee
    Würmsee is the historical name of the Bavarian lake now known as Starnberger See, one of Germany’s largest and most famous lakes near Munich.
  • C. Schwielowsee
    Schwielowsee is a scenic lake and municipality in Brandenburg, Germany, known for its natural landscapes, water recreation, and proximity to Potsdam.
  • D. Schluchsee
    Schluchsee is a large reservoir and popular recreational lake in Germany’s Black Forest, known for swimming, sailing, and scenic hiking.
  • E. Rummelsburger See
    Rummelsburger See is a small inner-city lake and former industrial harbor basin in Berlin, Germany, known today for its residential waterfront and recreational areas.
  • 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_69ab4ac558388190962492cd2e1b0ce6 completed March 6, 2026, 9:44 p.m.
NER Named-entity recognition batch_69abd8af06fc8190ab48d746b8c8892b completed March 7, 2026, 7:50 a.m.
NED1 Entity disambiguation (via context triple) batch_69af909b7d9881908930a98d004998fb completed March 10, 2026, 3:31 a.m.
Created at: March 6, 2026, 9:50 p.m.