Triple

T12055750
Position Surface form Disambiguated ID Type / Status
Subject Sennwald E287036 entity
Predicate hasSettlement P1068 FINISHED
Object Frümsen
Frümsen is a small village in the municipality of Sennwald in the canton of St. Gallen in eastern Switzerland.
 E973023 NE FINISHED

How this triple was built (4 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: Frümsen | Statement: [Sennwald, hasSettlement, Frümsen]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Frümsen
Context triple: [Sennwald, hasSettlement, Frümsen]
  • A. Obergoms
    Obergoms is a municipality in the canton of Valais in southwestern Switzerland, known for its high Alpine landscapes and traditional mountain villages.
  • B. Emsbach
    Emsbach is a small river in Germany that flows through Hesse before joining the Lahn.
  • C. Friedlingen
    Friedlingen is a district of the German town Weil am Rhein, located in the far southwest of Baden-Württemberg near the borders with France and Switzerland.
  • D. Marlenheim
    Marlenheim is a commune in northeastern France’s Alsace region, known as a historic wine-producing village and gateway to the area’s renowned vineyards and scenic countryside.
  • E. Friesdorf
    Friesdorf is a residential subdistrict of the Bonn borough Bad Godesberg in western Germany.
  • F. None of above. chosen
  • G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg Description generation gpt-5.1
Instruction
Generate a one-sentence description of the target entity. 
You are given a context triple in the form (subject, predicate, object), where the object is the target entity. 
# Instructions
Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. 
Avoid repeating the information from the triple, unless really essential.
# Response Format
Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Frümsen
Triple: [Sennwald, hasSettlement, Frümsen]
Generated description
Frümsen is a small village in the municipality of Sennwald in the canton of St. Gallen in eastern Switzerland.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Frümsen
Target entity description: Frümsen is a small village in the municipality of Sennwald in the canton of St. Gallen in eastern Switzerland.
  • A. Obergoms
    Obergoms is a municipality in the canton of Valais in southwestern Switzerland, known for its high Alpine landscapes and traditional mountain villages.
  • B. Emsbach
    Emsbach is a small river in Germany that flows through Hesse before joining the Lahn.
  • C. Friedlingen
    Friedlingen is a district of the German town Weil am Rhein, located in the far southwest of Baden-Württemberg near the borders with France and Switzerland.
  • D. Marlenheim
    Marlenheim is a commune in northeastern France’s Alsace region, known as a historic wine-producing village and gateway to the area’s renowned vineyards and scenic countryside.
  • E. Friesdorf
    Friesdorf is a residential subdistrict of the Bonn borough Bad Godesberg in western Germany.
  • F. None of above. chosen

Provenance (5 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_69d6ab4780948190bdb9f7620c2ac27e completed April 8, 2026, 7:23 p.m.
NER Named-entity recognition batch_69d90425258c8190ba7b3b837c439253 completed April 10, 2026, 2:07 p.m.
NED1 Entity disambiguation (via context triple) batch_69f61e3ee53c81909c2e4620a12a46da completed May 2, 2026, 3:54 p.m.
NEDg Description generation batch_69f61f0dc1e08190bfd2452287d534c9 completed May 2, 2026, 3:58 p.m.
NED2 Entity disambiguation (via description) batch_69f61fa2073881909f683966772bd6b2 completed May 2, 2026, 4 p.m.
Created at: April 8, 2026, 9:47 p.m.