Triple

T22751722
Position Surface form Disambiguated ID Type / Status
Subject Rheineck E562717 entity
Predicate neighboringMunicipality P17964 FINISHED
Object St. Margrethen 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: St. Margrethen | Statement: [Rheineck, neighboringMunicipality, St. Margrethen]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: St. Margrethen
Context triple: [Rheineck, neighboringMunicipality, St. Margrethen]
  • A. St. Margrethen chosen
    St. Margrethen is a municipality in the canton of St. Gallen in northeastern Switzerland, located near the Austrian border along the Rhine River.
  • B. St. Margrethenberg
    St. Margrethenberg is a small Swiss village in the canton of St. Gallen, known for its scenic alpine setting and traditional rural character.
  • C. Margareten
    Margareten is the 5th district of Vienna, Austria, known as a densely populated, traditionally working-class area that has undergone significant urban renewal and gentrification.
  • D. Borgentreich
    Borgentreich is a small town in North Rhine-Westphalia, Germany, known for its rural character and historic churches.
  • E. Nunningen
    Nunningen is a Swiss municipality in the canton of Solothurn, known for its rural setting in the Jura region and its proximity to both Basel and the French border.
  • 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_69e24551ec7881909a9c924dbea155f6 completed April 17, 2026, 2:36 p.m.
NER Named-entity recognition batch_69f179b9ac348190bff4dc470931f7e3 completed April 29, 2026, 3:23 a.m.
Created at: April 17, 2026, 3:24 p.m.