Triple

T13033342
Position Surface form Disambiguated ID Type / Status
Subject Saint-Dié-des-Vosges E326494 entity
Predicate hasTwinTown P919 FINISHED
Object Fellbach E270643 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: Fellbach | Statement: [Saint-Dié-des-Vosges, hasTwinTown, Fellbach]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Fellbach
Context triple: [Saint-Dié-des-Vosges, hasTwinTown, Fellbach]
  • A. Fellbach chosen
    Fellbach is a town in the German state of Baden-Württemberg, located near Stuttgart and known for its wine-growing tradition and industrial economy.
  • B. Schorndorf
    Schorndorf is a historic town in the German state of Baden-Württemberg, known for its well-preserved medieval center and as the birthplace of automotive pioneer Gottlieb Daimler.
  • C. Lautlingen
    Lautlingen is a village in the Zollernalb district of Baden-Württemberg, Germany, now incorporated as a district of the town of Albstadt.
  • D. Miesbach
    Miesbach is a historic town in southern Germany known for its traditional Bavarian culture and picturesque Alpine foothill setting.
  • E. Pfullingen
    Pfullingen is a small town in the state of Baden-Württemberg in southwestern Germany, situated near the Swabian Jura and close to the city of Reutlingen.
  • 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_69d8076cc45c81908123123f43e69266 completed April 9, 2026, 8:09 p.m.
NER Named-entity recognition batch_69d97efe72348190b52fb4068f5fb829 completed April 10, 2026, 10:51 p.m.
NED1 Entity disambiguation (via context triple) batch_69f7b8c0b24c819082d0ec947b7d99ea completed May 3, 2026, 9:06 p.m.
Created at: April 9, 2026, 8:54 p.m.