Triple

T22829138
Position Surface form Disambiguated ID Type / Status
Subject Landkreis Karlsruhe E565748 entity
Predicate borders P224 FINISHED
Object Enzkreis 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: Enzkreis | Statement: [Landkreis Karlsruhe, borders, Enzkreis]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Enzkreis
Context triple: [Landkreis Karlsruhe, borders, Enzkreis]
  • A. Enzkreis district chosen
    Enzkreis district is a rural administrative district in the state of Baden-Württemberg in southwestern Germany, surrounding but not including the city of Pforzheim.
  • B. Oberlahnkreis
    Oberlahnkreis was a former rural district in the German state of Hesse that was later incorporated into the modern Limburg-Weilburg district.
  • C. Zollernalbkreis
    Zollernalbkreis is a rural district in the state of Baden-Württemberg in southwestern Germany, known for its location in the Swabian Jura (Schwäbische Alb) region.
  • D. Odenwaldkreis
    Odenwaldkreis is a rural district in the state of Hesse, Germany, known for its forested low mountain landscapes and small historic towns.
  • E. Kreis Herzberg
    Kreis Herzberg was a former administrative district in the Prussian Province of Brandenburg in Germany, centered around the town of Herzberg (Elster).
  • 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_69e24585ab1c81909b2b5065d15805d5 completed April 17, 2026, 2:36 p.m.
NER Named-entity recognition batch_69f17e2a0e308190941064965346f890 completed April 29, 2026, 3:42 a.m.
Created at: April 17, 2026, 3:34 p.m.