Triple

T20781411
Position Surface form Disambiguated ID Type / Status
Subject Bezirk Suhl E511489 entity
Predicate hadDistrict P141523 FINISHED
Object Kreis Sonneberg NE NERFINISHED

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: Kreis Sonneberg | Statement: [Bezirk Suhl, hadDistrict, Kreis Sonneberg]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Kreis Sonneberg
Context triple: [Bezirk Suhl, hadDistrict, Kreis Sonneberg]
  • A. Landkreis Sonneberg chosen
    Landkreis Sonneberg is a rural district in the southern part of the German state of Thuringia, known for its toy-making tradition and proximity to the Thuringian Forest.
  • B. Kreis Zeitz
    Kreis Zeitz was a rural administrative district in the former East German region of Bezirk Halle, centered around the town of Zeitz.
  • C. Kreis Arnstadt
    Kreis Arnstadt was a rural district in the former East German administrative region of Bezirk Erfurt, centered around the town of Arnstadt in Thuringia.
  • D. Kreis Nordhausen
    Kreis Nordhausen was a rural administrative district in the former East German state structure, located in the northern part of what is now the federal state of Thuringia.
  • E. Kreis Eisenach
    Kreis Eisenach was a rural administrative district in the former East German state structure, located in the region around the city of Eisenach within the Bezirk Erfurt.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 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_69e0b4cac7a48190a715cb3d545df2b4 completed April 16, 2026, 10:07 a.m.
NER Named-entity recognition batch_69e6c287b5288190823766fe59402d48 completed April 21, 2026, 12:19 a.m.
Created at: April 16, 2026, 12:37 p.m.