Triple

T2136276
Position Surface form Disambiguated ID Type / Status
Subject Brandenburg E46660 entity
Predicate hasRegion P285 FINISHED
Object Uckermark E67735 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: Uckermark | Statement: [Brandenburg, hasRegion, Uckermark]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Uckermark
Context triple: [Brandenburg, hasRegion, Uckermark]
  • A. Uckermark chosen
    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. 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.
  • C. Emsland
    Emsland is a rural region in western Germany known for its agriculture, peatlands, and location along the River Ems near the Dutch border.
  • D. Mecklenburg Lake District
    The Mecklenburg Lake District is a vast region of interconnected lakes, rivers, and wetlands in northeastern Germany, renowned for its unspoiled nature, water sports, and scenic rural landscapes.
  • E. Badenburg
    Badenburg is an ornate pavilion within Munich’s Nymphenburg Palace park, known for its richly decorated interiors and historical bathing hall.
  • 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_69a88a174ab48190a5db20c132e5dccf completed March 4, 2026, 7:37 p.m.
NER Named-entity recognition batch_69abbdc4ce8c81908d143d5451681e6a completed March 7, 2026, 5:55 a.m.
NED1 Entity disambiguation (via context triple) batch_69ae58d3275481909c8d74ca7c037ddd completed March 9, 2026, 5:21 a.m.
Created at: March 4, 2026, 7:44 p.m.