Triple

T6138567
Position Surface form Disambiguated ID Type / Status
Subject Bezirk Leipzig E136898 entity
Predicate borderedBy P224 FINISHED
Object Bezirk Halle E143233 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 Halle | Statement: [Bezirk Leipzig, borderedBy, Bezirk Halle]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Bezirk Halle
Context triple: [Bezirk Leipzig, borderedBy, Bezirk Halle]
  • A. Bezirk Halle chosen
    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.
  • B. Bezirk Gera
    Bezirk Gera was an administrative district of the former East Germany, centered around the city of Gera in the state of Thuringia.
  • C. Bezirk Suhl
    Bezirk Suhl was an administrative district in the former East Germany, located in the southern part of the country and known for its mountainous Thuringian landscape and industrial centers.
  • D. Bezirk Erfurt
    Bezirk Erfurt was an administrative district of the former East Germany centered around the city of Erfurt and existing from the 1952 territorial reform until German reunification in 1990.
  • 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_69c008a179388190a3b5a081bbf46d55 completed March 22, 2026, 3:20 p.m.
NER Named-entity recognition batch_69c05c855a2481909801de9fd55686a4 completed March 22, 2026, 9:17 p.m.
NED1 Entity disambiguation (via context triple) batch_69c603d90bcc81908f819a9e262ec17a completed March 27, 2026, 4:13 a.m.
Created at: March 22, 2026, 4:15 p.m.