Triple

T6632585
Position Surface form Disambiguated ID Type / Status
Subject Bezirk Karl-Marx-Stadt E149961 entity
Predicate borderedBy P224 FINISHED
Object Bezirk Dresden E134800 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 Dresden | Statement: [Bezirk Karl-Marx-Stadt, borderedBy, Bezirk Dresden]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Bezirk Dresden
Context triple: [Bezirk Karl-Marx-Stadt, borderedBy, Bezirk Dresden]
  • A. Bezirk Dresden chosen
    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.
  • B. Bezirk Leipzig
    Bezirk Leipzig was an administrative district in the former East Germany centered around the city of Leipzig.
  • C. Zwickau district
    Zwickau district is an administrative district in the Free State of Saxony in eastern Germany, centered around the city of Zwickau and known for its industrial heritage and automotive history.
  • D. Bezirk Cottbus
    Bezirk Cottbus was an administrative district in the former East Germany, located in the southeast of the country and centered around the city of Cottbus.
  • 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_69c687ee50048190aa151765bef16193 completed March 27, 2026, 1:36 p.m.
NER Named-entity recognition batch_69c6afc9138c81909d228ce4936d6b8b completed March 27, 2026, 4:26 p.m.
NED1 Entity disambiguation (via context triple) batch_69c6e4518f4881909c0a56df993d2af6 completed March 27, 2026, 8:10 p.m.
Created at: March 27, 2026, 1:59 p.m.