Triple

T5569528
Position Surface form Disambiguated ID Type / Status
Subject Bezirk Potsdam E145962 entity
Predicate borderedBy P224 FINISHED
Object Bezirk Magdeburg E141723 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 Magdeburg | Statement: [Bezirk Potsdam, borderedBy, Bezirk Magdeburg]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Bezirk Magdeburg
Context triple: [Bezirk Potsdam, borderedBy, Bezirk Magdeburg]
  • A. Bezirk Magdeburg chosen
    Bezirk Magdeburg was an administrative district of the former East Germany centered around the city of Magdeburg.
  • B. Bezirk Neubrandenburg
    Bezirk Neubrandenburg was an administrative district in the former East Germany, centered on the city of Neubrandenburg in the northeastern part of the country.
  • C. Bezirk Schwerin
    Bezirk Schwerin was an administrative district in the former East Germany, centered around the city of Schwerin and existing from the 1952 territorial reform until German reunification in 1990.
  • 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 Leipzig
    Bezirk Leipzig was an administrative district in the former East Germany centered around the city of Leipzig.
  • 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_69c008fdae24819081aa002ad99cd966 completed March 22, 2026, 3:21 p.m.
NER Named-entity recognition batch_69c0204f0d288190b9d4884665ba9116 completed March 22, 2026, 5:01 p.m.
NED1 Entity disambiguation (via context triple) batch_69c0a139a20c819085f0f4b5105b3aef completed March 23, 2026, 2:11 a.m.
Created at: March 22, 2026, 3:36 p.m.