Triple

T17010046
Position Surface form Disambiguated ID Type / Status
Subject Euskirchen E412673 entity
Predicate locatedNear P294 FINISHED
Object Bad Münstereifel E21898 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: Bad Münstereifel | Statement: [Euskirchen, locatedNear, Bad Münstereifel]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Bad Münstereifel
Context triple: [Euskirchen, locatedNear, Bad Münstereifel]
  • A. Bad Münstereifel chosen
    Bad Münstereifel is a historic spa town in the Eifel region of North Rhine-Westphalia, western Germany, known for its well-preserved medieval center and fortifications.
  • B. Bad Salzuflen
    Bad Salzuflen is a German spa town in the Lippe district of North Rhine-Westphalia, known for its saltwater springs and historic half-timbered architecture.
  • C. Bad Wörishofen
    Bad Wörishofen is a spa town in Bavaria, Germany, renowned as the birthplace of Sebastian Kneipp’s hydrotherapy and wellness treatments.
  • D. Bad Cannstatt
    Bad Cannstatt is a historic district of Stuttgart, Germany, known for its mineral springs, traditional architecture, and the Cannstatter Volksfest beer festival.
  • E. Bad Honnef
    Bad Honnef is a spa town on the Rhine in North Rhine-Westphalia, Germany, known for its scenic setting near the Siebengebirge hills and its historical associations with prominent political figures.
  • 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_69d886cc4170819093deddc7b8b4b6a7 completed April 10, 2026, 5:12 a.m.
NER Named-entity recognition batch_69e3d47a8444819081f1262eb7dbda40 completed April 18, 2026, 6:59 p.m.
NED1 Entity disambiguation (via context triple) batch_6a00dc241ec88190a3e868ab88b26f09 completed May 10, 2026, 7:27 p.m.
Created at: April 10, 2026, 5:33 a.m.