Triple

T7843100
Position Surface form Disambiguated ID Type / Status
Subject Stralsund E181851 entity
Predicate partOf P40 FINISHED
Object Vorpommern E20284 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: Vorpommern | Statement: [Stralsund, partOf, Vorpommern]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Vorpommern
Context triple: [Stralsund, partOf, Vorpommern]
  • A. 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.
  • B. Pomerania chosen
    Pomerania is a historical region on the southern coast of the Baltic Sea, now split between Poland and Germany, known for its strategic maritime location and distinct cultural heritage.
  • C. Nordvorpommern
    Nordvorpommern was a former district in the German state of Mecklenburg-Vorpommern, located along the Baltic Sea coast and later incorporated into the district of Vorpommern-Rügen.
  • D. Mecklenburg-Vorpommern
    Mecklenburg-Vorpommern is a federal state in northeastern Germany known for its Baltic Sea coastline, numerous lakes, and relatively low population density.
  • E. Brandenburg
    Brandenburg is a federal state in northeastern Germany that surrounds Berlin and is known for its lakes, forests, and historic Prussian 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_69ca8285d6488190a95d4c02d7354b53 completed March 30, 2026, 2:02 p.m.
NER Named-entity recognition batch_69cb163b32688190b463a9cd8fa3c690 completed March 31, 2026, 12:32 a.m.
NED1 Entity disambiguation (via context triple) batch_69ccbda1033c819088372a46a74c575d completed April 1, 2026, 6:39 a.m.
Created at: March 30, 2026, 4:48 p.m.