Triple

T20459290
Position Surface form Disambiguated ID Type / Status
Subject DE40 (Brandenburg) E501879 entity
Predicate containsMunicipality P852 FINISHED
Object Luckenwalde NE NERFINISHED

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: Luckenwalde | Statement: [DE40 (Brandenburg), containsMunicipality, Luckenwalde]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Luckenwalde
Context triple: [DE40 (Brandenburg), containsMunicipality, Luckenwalde]
  • A. Luckenwalde chosen
    Luckenwalde is a town in the German state of Brandenburg known for its industrial heritage and historic architecture, including notable factory complexes.
  • B. Luhe-Wildenau
    Luhe-Wildenau is a municipality in the district of Neustadt an der Waldnaab in the Upper Palatinate region of Bavaria, Germany.
  • C. Zossen
    Zossen is a town in Brandenburg, Germany, historically notable as a major military command center, including serving as a key headquarters area during the Soviet occupation after World War II.
  • D. Wedemark
    Wedemark is a municipality in Lower Saxony, Germany, located north of Hanover and known for its semi-rural character and commuter links to the city.
  • E. Nauen
    Nauen is a historic town in the Havelland district of Brandenburg, Germany, known for its early radio transmission station and agricultural surroundings.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 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_69e0b4ad4940819098cf2ff6413574e5 completed April 16, 2026, 10:06 a.m.
NER Named-entity recognition batch_69e696a4652c8190acf79fa2e285e436 completed April 20, 2026, 9:12 p.m.
Created at: April 16, 2026, 11:33 a.m.