Triple

T13013976
Position Surface form Disambiguated ID Type / Status
Subject Bernese Mittelland E322495 entity
Predicate containsCity P294 FINISHED
Object Olten
Olten is a Swiss city in the canton of Solothurn, known as an important railway junction and transport hub roughly between Zurich, Basel, and Bern.
E182060 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: Olten | Statement: [Bernese Mittelland, containsCity, Olten]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Olten
Context triple: [Bernese Mittelland, containsCity, Olten]
  • A. Olten
    Olten is a town in the canton of Solothurn in northwestern Switzerland, known as an important railway junction and regional economic center.
  • B. 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.
  • C. Bülach
    Bülach is a town in northern Switzerland that serves as a regional center near Zurich, known for its residential character and proximity to Zurich Airport.
  • D. Liestal
    Liestal is a historic Swiss town in northwestern Switzerland that serves as the administrative and cultural center of the canton of Basel-Landschaft.
  • E. 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.
  • 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: Olten
Triple: [Bernese Mittelland, containsCity, Olten]
Generated description
Olten is a Swiss city in the canton of Solothurn, known as an important railway junction and transport hub roughly between Zurich, Basel, and Bern.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Olten
Target entity description: Olten is a Swiss city in the canton of Solothurn, known as an important railway junction and transport hub roughly between Zurich, Basel, and Bern.
  • A. Olten chosen
    Olten is a town in the canton of Solothurn in northwestern Switzerland, known as an important railway junction and regional economic center.
  • B. 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.
  • C. Bülach
    Bülach is a town in northern Switzerland that serves as a regional center near Zurich, known for its residential character and proximity to Zurich Airport.
  • D. Liestal
    Liestal is a historic Swiss town in northwestern Switzerland that serves as the administrative and cultural center of the canton of Basel-Landschaft.
  • E. 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.
  • F. None of above.

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_69d807657e8c8190bd9435ee2f823845 completed April 9, 2026, 8:09 p.m.
NER Named-entity recognition batch_69d97ecbb8f4819094d55eb07cb5ad97 completed April 10, 2026, 10:50 p.m.
NED1 Entity disambiguation (via context triple) batch_69f79d3188f88190aafbb1cf97317dc8 completed May 3, 2026, 7:08 p.m.
NEDg Description generation batch_69f79e77b5e88190a85f4061c8abb8a4 completed May 3, 2026, 7:13 p.m.
NED2 Entity disambiguation (via description) batch_69f79fa5249481909b2c046ed9801371 completed May 3, 2026, 7:19 p.m.
Created at: April 9, 2026, 8:50 p.m.