Triple

T3530293
Position Surface form Disambiguated ID Type / Status
Subject Lüneburg E74643 entity
Predicate partOf P40 FINISHED
Object Lüneburg district E74643 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: Lüneburg district | Statement: [Lüneburg, partOf, Lüneburg district]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Lüneburg district
Context triple: [Lüneburg, partOf, Lüneburg district]
  • A. Hildesheim district
    Hildesheim district is a rural administrative district in Lower Saxony, Germany, surrounding the city of Hildesheim and comprising several towns and municipalities.
  • B. Northeim district
    Northeim district is a rural administrative district in southern Lower Saxony, Germany, known for its agricultural landscape, small towns, and location along the River Leine.
  • C. Osnabrück district
    Osnabrück district is a rural administrative district in the German state of Lower Saxony surrounding the independent city of Osnabrück.
  • D. Göttingen district
    Göttingen district is an administrative district in southern Lower Saxony, Germany, known for encompassing the university city of Göttingen and surrounding rural areas.
  • E. Lüneburg chosen
    Lüneburg is a historic Hanseatic town in northern Germany renowned for its medieval architecture and former wealth from salt mining.
  • 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_69ad85d1a3948190931fd1ea1f49717b completed March 8, 2026, 2:21 p.m.
NER Named-entity recognition batch_69adbc9764a881908aa8d25dc9adf59e completed March 8, 2026, 6:14 p.m.
NED1 Entity disambiguation (via context triple) batch_69b402d81ee081908463b38d85b5bea3 completed March 13, 2026, 12:28 p.m.
Created at: March 8, 2026, 3:19 p.m.