Triple

T12807525
Position Surface form Disambiguated ID Type / Status
Subject Eichsfeld district E306183 entity
Predicate borderedBy P224 FINISHED
Object Kyffhäuserkreis E205469 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: Kyffhäuserkreis | Statement: [Eichsfeld district, borderedBy, Kyffhäuserkreis]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Kyffhäuserkreis
Context triple: [Eichsfeld district, borderedBy, Kyffhäuserkreis]
  • A. Kyffhäuserkreis chosen
    Kyffhäuserkreis is a rural district in the German state of Thuringia, known for the Kyffhäuser mountain range and the Kyffhäuser Monument.
  • B. Saalekreis
    Saalekreis is a rural district in the German state of Saxony-Anhalt, located around the city of Halle (Saale).
  • C. Wartburgkreis
    Wartburgkreis is a rural district in the western part of the German state of Thuringia, known for encompassing the historic Wartburg Castle near Eisenach.
  • D. Bavarian Nordgau
    Bavarian Nordgau was a medieval administrative and territorial region of the Duchy of Bavaria located in what is now northern Bavaria, Germany.
  • E. Werra-Meißner-Kreis
    Werra-Meißner-Kreis is a rural district in the north of the German state of Hesse, known for its scenic landscapes along the Werra and Meißner regions and its mix of small towns and natural areas.
  • 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_69d7bdf46c448190b1faa55aaacb6317 completed April 9, 2026, 2:55 p.m.
NER Named-entity recognition batch_69d96e808130819080f404b3a7462c2e completed April 10, 2026, 9:41 p.m.
NED1 Entity disambiguation (via context triple) batch_69f6a544badc8190877c39728e57af6f completed May 3, 2026, 1:30 a.m.
Created at: April 9, 2026, 5:31 p.m.