Triple

T19492554
Position Surface form Disambiguated ID Type / Status
Subject Singen (Hohentwiel) E487686 entity
Predicate hasNeighbouringMunicipality P224 FINISHED
Object Radolfzell am Bodensee 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: Radolfzell am Bodensee | Statement: [Singen (Hohentwiel), hasNeighbouringMunicipality, Radolfzell am Bodensee]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Radolfzell am Bodensee
Context triple: [Singen (Hohentwiel), hasNeighbouringMunicipality, Radolfzell am Bodensee]
  • A. Radolfzell chosen
    Radolfzell is a town on the western shore of Lake Constance in southern Germany, known for its historic old town and lakeside setting.
  • B. Bochingen
    Bochingen is a village and district of the town Oberndorf am Neckar in the state of Baden-Württemberg in southwestern Germany.
  • C. Maihingen
    Maihingen is a small rural municipality in the Donau-Ries district of Bavaria in southern Germany.
  • D. Biberach an der Riß
    Biberach an der Riß is a historic town in the German state of Baden-Württemberg, known for its well-preserved medieval old town and traditional Swabian culture.
  • E. Metzingen
    Metzingen is a town in the German state of Baden-Württemberg, known for its Swabian heritage and large outlet shopping district.
  • 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_69d8e8d9d1c88190b01cd78b8be49384 completed April 10, 2026, 12:11 p.m.
NER Named-entity recognition batch_69e6348f4d708190a6e612863fee4b97 completed April 20, 2026, 2:13 p.m.
Created at: April 10, 2026, 1:39 p.m.