Triple

T15589024
Position Surface form Disambiguated ID Type / Status
Subject Karin Keller-Sutter E374693 entity
Predicate hasCantonOfOrigin P62210 FINISHED
Object St. Gallen E180328 NE FINISHED

How this triple was built (3 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. Gallen | Statement: [Karin Keller-Sutter, hasCantonOfOrigin, St. Gallen]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: St. Gallen
Context triple: [Karin Keller-Sutter, hasCantonOfOrigin, St. Gallen]
  • A. St. Gallen chosen
    St. Gallen is a historic city in northeastern Switzerland renowned for its UNESCO-listed Abbey of Saint Gall and rich textile heritage.
  • B. Olten
    Olten is a town in the canton of Solothurn in northwestern Switzerland, known as an important railway junction and regional economic center.
  • C. Stettlen
    Stettlen is a municipality in the canton of Bern in Switzerland, situated just east of the city of Bern and functioning largely as a residential and commuter community.
  • D. Grenchen
    Grenchen is a Swiss town in the canton of Solothurn known for its watchmaking industry and location at the foot of the Jura Mountains.
  • E. Türnich
    Türnich is a district of the town of Kerpen in North Rhine-Westphalia, Germany, known as a residential area within the Cologne metropolitan region.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: hasCantonOfOrigin
Context triple: [Karin Keller-Sutter, hasCantonOfOrigin, St. Gallen]
  • A. hasCanton
    Indicates that an entity is administratively divided into, or associated with, a specific canton.
  • B. sourceCanton chosen
    Indicates the canton from which something or someone originates or is sourced.
  • C. hasCantonType
    Indicates that an entity is associated with, or classified by, a specific type or category of canton.
  • D. hasCountryOfOriginToponym
    Indicates that something has a place name (toponym) specifying the country from which it originates.
  • E. capitalOfOrigin
    Indicates that one entity is the capital city associated with the origin (such as birthplace, founding place, or source location) of another entity.
  • F. None of above.

Provenance (4 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_69d85cce25008190b13b52745fbd719b completed April 10, 2026, 2:13 a.m.
NER Named-entity recognition batch_69e04e4a19708190936118d569f3436d completed April 16, 2026, 2:49 a.m.
NED1 Entity disambiguation (via context triple) batch_6a001f7d79348190aba1889a7eb3d7c8 completed May 10, 2026, 6:02 a.m.
PD Predicate disambiguation batch_69deda817e9881909b0c66fc9056f7d5 completed April 15, 2026, 12:23 a.m.
Created at: April 10, 2026, 4:11 a.m.