Triple

T12065324
Position Surface form Disambiguated ID Type / Status
Subject Grevesmühlen E287279 entity
Predicate locatedInFormerState P25414 FINISHED
Object Mecklenburg E9737 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: Mecklenburg | Statement: [Grevesmühlen, locatedInFormerState, Mecklenburg]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Mecklenburg
Context triple: [Grevesmühlen, locatedInFormerState, Mecklenburg]
  • A. Uckermark
    Uckermark is a rural historical region in northeastern Germany, known for its lakes, forests, and low population density, located primarily in the state of Brandenburg.
  • B. Mecklenburgische Schweiz
    Mecklenburgische Schweiz is a hilly, lake-rich landscape region in northeastern Germany known for its rolling moraines, forests, and scenic rural character.
  • C. Vorpommern-Rügen
    Vorpommern-Rügen is a district in the northeastern German state of Mecklenburg-Vorpommern that encompasses the island of Rügen and parts of the Baltic Sea coast.
  • D. Ostholstein
    Ostholstein is a rural district in the German state of Schleswig-Holstein, known for its Baltic Sea coastline, seaside resorts, and agricultural landscapes.
  • E. Mecklenburg-Vorpommern chosen
    Mecklenburg-Vorpommern is a federal state in northeastern Germany known for its Baltic Sea coastline, numerous lakes, and relatively low population density.
  • 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_69d6ab4846e081908ee7bbd66a6d3459 completed April 8, 2026, 7:23 p.m.
NER Named-entity recognition batch_69d90440dd988190ae2b80367aceb6f7 completed April 10, 2026, 2:08 p.m.
NED1 Entity disambiguation (via context triple) batch_69f62a7c2b0081909994ea88683a39f4 completed May 2, 2026, 4:46 p.m.
Created at: April 8, 2026, 9:48 p.m.