Triple

T20366499
Position Surface form Disambiguated ID Type / Status
Subject Schwarzwald-Baar-Kreis E496922 entity
Predicate hasMunicipality P847 FINISHED
Object Hüfingen 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: Hüfingen | Statement: [Schwarzwald-Baar-Kreis, hasMunicipality, Hüfingen]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Hüfingen
Context triple: [Schwarzwald-Baar-Kreis, hasMunicipality, Hüfingen]
  • A. Hüfingen chosen
    Hüfingen is a small town in southwestern Germany’s Baden-Württemberg state, known for its location near the Black Forest and its historic Roman bath ruins.
  • B. Waiblingen
    Waiblingen is a town in the German state of Baden-Württemberg, located near Stuttgart and known as an important regional center in the Rems-Murr district.
  • C. Bötzingen
    Bötzingen is a municipality in southwestern Germany’s Baden-Württemberg region, situated near Freiburg in the Breisgau wine-growing area.
  • D. Ettlingen
    Ettlingen is a historic town in the state of Baden-Württemberg in southwestern Germany, known for its well-preserved old town and proximity to the city of Karlsruhe.
  • E. Bietigheim-Bissingen
    Bietigheim-Bissingen is a town in the German state of Baden-Württemberg known for its historic old town, wine-growing tradition, and location near Stuttgart.
  • 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_69e0b4a4f9b081908a5a021919c21ccb completed April 16, 2026, 10:06 a.m.
NER Named-entity recognition batch_69e67871bfdc8190948c46497cd675c9 completed April 20, 2026, 7:03 p.m.
Created at: April 16, 2026, 11:26 a.m.