Triple

T8531411
Position Surface form Disambiguated ID Type / Status
Subject Anhalt-Bitterfeld E201958 entity
Predicate borderedBy P224 FINISHED
Object Dessau-Roßlau (urban district) E53961 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: Dessau-Roßlau (urban district) | Statement: [Anhalt-Bitterfeld, borderedBy, Dessau-Roßlau (urban district)]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Dessau-Roßlau (urban district)
Context triple: [Anhalt-Bitterfeld, borderedBy, Dessau-Roßlau (urban district)]
  • A. Dessau
    Dessau is a German city best known for its association with the Bauhaus movement and its iconic modernist architecture.
  • B. City of Dessau-Roßlau chosen
    The City of Dessau-Roßlau is a German city in Saxony-Anhalt known for its Bauhaus architectural heritage and role as an industrial and cultural center in central Germany.
  • C. Stollberg district
    Stollberg district was a former administrative district in the Free State of Saxony, Germany, located in the Ore Mountains region before being incorporated into the Erzgebirgskreis.
  • D. Degendorf
    Degendorf is a locality within the Bavarian town and district of Lichtenfels in Germany.
  • E. Babelsberg district
    Babelsberg district is a historic quarter of Potsdam, Germany, known for its film studios, lakeside villas, and well-preserved 19th- and early 20th-century architecture.
  • 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_69ca83228b24819085d22e7dc99f5d94 completed March 30, 2026, 2:05 p.m.
NER Named-entity recognition batch_69cbe67546248190b359c845c0161ad3 completed March 31, 2026, 3:21 p.m.
NED1 Entity disambiguation (via context triple) batch_69ce6d68d14c81908bde8ca0113f9503 completed April 2, 2026, 1:21 p.m.
Created at: March 30, 2026, 6:17 p.m.