Triple

T6366117
Position Surface form Disambiguated ID Type / Status
Subject Bezirk Halle E143233 entity
Predicate hadRuralDistrict P56414 FINISHED
Object Kreis Hettstedt E621226 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 Hettstedt | Statement: [Bezirk Halle, hadRuralDistrict, Kreis Hettstedt]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Kreis Hettstedt
Context triple: [Bezirk Halle, hadRuralDistrict, Kreis Hettstedt]
  • A. Kreis Demmin
    Kreis Demmin was a rural administrative district in the former East Germany, located in the region that is now part of the state of Mecklenburg-Vorpommern.
  • B. Kreis Belzig
    Kreis Belzig was a former rural district in the German Democratic Republic, located in the Potsdam region of the state of Brandenburg.
  • C. Kreis Stendal
    Kreis Stendal was a rural district in the former East German administrative region of Bezirk Magdeburg, centered around the town of Stendal in Saxony-Anhalt.
  • D. Kreis Heiligenstadt
    Kreis Heiligenstadt was a rural district in the former East German state of Thuringia, administered within the Bezirk Erfurt.
  • E. Kreis Gräfenhainichen chosen
    Kreis Gräfenhainichen was a rural district in the former East German administrative region of Bezirk Halle.
  • 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_69c72f6db074819089795c29cb4f6699 completed March 28, 2026, 1:31 a.m.
Created at: March 22, 2026, 4:32 p.m.