Triple

T12002094
Position Surface form Disambiguated ID Type / Status
Subject Thurgau E285688 entity
Predicate hasMunicipality P847 FINISHED
Object Weinfelden
Weinfelden is a town and municipality in northeastern Switzerland that serves as an important regional center in the canton of Thurgau.
E998117 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: Weinfelden | Statement: [Thurgau, hasMunicipality, Weinfelden]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Weinfelden
Context triple: [Thurgau, hasMunicipality, Weinfelden]
  • A. Reigoldswil
    Reigoldswil is a municipality in the canton of Basel-Landschaft in northwestern Switzerland, known as a gateway to the Jura hills and local hiking areas.
  • B. Wädenswil
    Wädenswil is a Swiss town in the canton of Zurich known for its lakeside location, wine-growing tradition, and research institutes.
  • C. Andelfingen
    Andelfingen is a municipality and regional center in the canton of Zürich in northern Switzerland, known for its rural character and vineyards along the Thur River.
  • D. Rheinsfelden
    Rheinsfelden is a locality in the canton of Zurich, Switzerland, situated near the confluence of the Glatt River with the Rhine.
  • E. Niederbühl
    Niederbühl is a district of the town of Rastatt in the state of Baden-Württemberg in southwestern 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: Weinfelden
Triple: [Thurgau, hasMunicipality, Weinfelden]
Generated description
Weinfelden is a town and municipality in northeastern Switzerland that serves as an important regional center in the canton of Thurgau.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Weinfelden
Target entity description: Weinfelden is a town and municipality in northeastern Switzerland that serves as an important regional center in the canton of Thurgau.
  • A. Reigoldswil
    Reigoldswil is a municipality in the canton of Basel-Landschaft in northwestern Switzerland, known as a gateway to the Jura hills and local hiking areas.
  • B. Wädenswil
    Wädenswil is a Swiss town in the canton of Zurich known for its lakeside location, wine-growing tradition, and research institutes.
  • C. Andelfingen
    Andelfingen is a municipality and regional center in the canton of Zürich in northern Switzerland, known for its rural character and vineyards along the Thur River.
  • D. Rheinsfelden
    Rheinsfelden is a locality in the canton of Zurich, Switzerland, situated near the confluence of the Glatt River with the Rhine.
  • E. Niederbühl
    Niederbühl is a district of the town of Rastatt in the state of Baden-Württemberg in southwestern 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_69d6ab45a368819084fce08bf0dc3705 completed April 8, 2026, 7:23 p.m.
NER Named-entity recognition batch_69d903c36b248190b446b17def94885b completed April 10, 2026, 2:05 p.m.
NED1 Entity disambiguation (via context triple) batch_69f6717c2d848190b702470e6bcead2d completed May 2, 2026, 9:49 p.m.
NEDg Description generation batch_69f675bd9e2c8190920e286cc07b7e46 completed May 2, 2026, 10:07 p.m.
NED2 Entity disambiguation (via description) batch_69f6768236748190928aa8b8f500b49d completed May 2, 2026, 10:11 p.m.
Created at: April 8, 2026, 9:46 p.m.