Triple

T12064535
Position Surface form Disambiguated ID Type / Status
Subject Grand Duchy of Mecklenburg-Schwerin E287259 entity
Predicate todayPartOf P35 FINISHED
Object Mecklenburg-Vorpommern 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-Vorpommern | Statement: [Grand Duchy of Mecklenburg-Schwerin, todayPartOf, Mecklenburg-Vorpommern]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Mecklenburg-Vorpommern
Context triple: [Grand Duchy of Mecklenburg-Schwerin, todayPartOf, Mecklenburg-Vorpommern]
  • A. 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.
  • B. Schleswig-Holstein
    Schleswig-Holstein is Germany’s northernmost state, known for its North Sea and Baltic Sea coastlines, maritime heritage, and shared border with Denmark.
  • C. Brandenburg
    Brandenburg is a federal state in northeastern Germany that surrounds Berlin and is known for its lakes, forests, and historic Prussian heritage.
  • D. Brandenburg
    Brandenburg is a small city in Meade County, Kentucky, situated along the Ohio River and serving as the county seat.
  • E. Thuringia
    Thuringia is a federal state in central Germany known for its forested landscapes, historic cities like Weimar and Erfurt, and its rich cultural and intellectual 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_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_69f61e3ee53c81909c2e4620a12a46da completed May 2, 2026, 3:54 p.m.
Created at: April 8, 2026, 9:48 p.m.