Triple

T6051377
Position Surface form Disambiguated ID Type / Status
Subject Bezirk Dresden E134800 entity
Predicate borderedBy P224 FINISHED
Object Bezirk Leipzig E136898 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: Bezirk Leipzig | Statement: [Bezirk Dresden, borderedBy, Bezirk Leipzig]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Bezirk Leipzig
Context triple: [Bezirk Dresden, borderedBy, Bezirk Leipzig]
  • A. Bezirk Leipzig chosen
    Bezirk Leipzig was an administrative district in the former East Germany centered around the city of Leipzig.
  • B. Bezirk Dresden
    Bezirk Dresden was an administrative district centered on the city of Dresden that functioned as one of the key regional divisions of the former East Germany.
  • C. District of Leipzig
    The District of Leipzig is a rural administrative district in the Free State of Saxony in eastern Germany, surrounding but not including the city of Leipzig and forming part of the Central German Metropolitan Region.
  • D. Bezirk Halle
    Bezirk Halle was an administrative district of the former East Germany, centered around the city of Halle and functioning as a key regional unit during the GDR era.
  • E. Bezirk Gera
    Bezirk Gera was an administrative district of the former East Germany, centered around the city of Gera in the state of Thuringia.
  • 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_69c00877b6d4819096b0e163728b73a3 completed March 22, 2026, 3:19 p.m.
NER Named-entity recognition batch_69c056f66cb08190a782cdd038f26b93 completed March 22, 2026, 8:54 p.m.
NED1 Entity disambiguation (via context triple) batch_69c113a911548190b4269d094f65308d completed March 23, 2026, 10:19 a.m.
Created at: March 22, 2026, 4:09 p.m.