Triple

T14678415
Position Surface form Disambiguated ID Type / Status
Subject Northern Switzerland E344708 entity
Predicate containsTown P847 FINISHED
Object Stein am Rhein E634696 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: Stein am Rhein | Statement: [Northern Switzerland, containsTown, Stein am Rhein]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Stein am Rhein
Context triple: [Northern Switzerland, containsTown, Stein am Rhein]
  • A. Stein am Rhein chosen
    Stein am Rhein is a small medieval town in northern Switzerland renowned for its well-preserved old town and richly painted half-timbered houses along the Rhine River.
  • B. Weil am Rhein
    Weil am Rhein is a German town in the state of Baden-Württemberg, located at the tripoint border with France and Switzerland near Basel.
  • C. Schönaich
    Schönaich is a municipality in the German state of Baden-Württemberg, known for its local community life and international town twinning partnerships.
  • D. Schongau
    Schongau is a historic Bavarian town in southern Germany known for its well-preserved medieval old town and location along the Romantic Road.
  • E. Büsingen am Hochrhein
    Büsingen am Hochrhein is a unique German exclave entirely surrounded by Switzerland, known for its special legal and economic status within the Swiss customs area.
  • 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_69d822e34b348190ada4d1cdb6c7c226 completed April 9, 2026, 10:06 p.m.
NER Named-entity recognition batch_69deb567c2b88190a9639e61b6fba7df completed April 14, 2026, 9:45 p.m.
NED1 Entity disambiguation (via context triple) batch_69ff0b3216fc8190b79740a993b98cb3 completed May 9, 2026, 10:23 a.m.
Created at: April 10, 2026, 1:27 a.m.