Triple

T6366126
Position Surface form Disambiguated ID Type / Status
Subject Bezirk Halle E143233 entity
Predicate hadRuralDistrict P56414 FINISHED
Object Kreis Weißenfels E631751 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: Kreis Weißenfels | Statement: [Bezirk Halle, hadRuralDistrict, Kreis Weißenfels]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Kreis Weißenfels
Context triple: [Bezirk Halle, hadRuralDistrict, Kreis Weißenfels]
  • A. Kreis Naumburg
    Kreis Naumburg was a rural administrative district in the former East German region centered around the city of Naumburg, within the historical area of Saxony-Anhalt.
  • B. Kreis Köthen
    Kreis Köthen was a former rural district in the German Democratic Republic, located within the administrative region of Bezirk Halle.
  • C. 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.
  • D. Kreis Querfurt chosen
    Kreis Querfurt was a former rural district in the German Democratic Republic, located in the southern part of what is now the state of Saxony-Anhalt.
  • E. Kreis Weimar-Land
    Kreis Weimar-Land was a rural district in the former East German administrative region centered around the city of Weimar.
  • 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_69c008d8c61081908bcaf61510d881ed completed March 22, 2026, 3:20 p.m.
NER Named-entity recognition batch_69c068106e18819087ed2e9841d2b365 completed March 22, 2026, 10:07 p.m.
NED1 Entity disambiguation (via context triple) batch_69c77510f80c81908fe7784bdaa640c5 completed March 28, 2026, 6:28 a.m.
Created at: March 22, 2026, 4:32 p.m.