Triple

T13343493
Position Surface form Disambiguated ID Type / Status
Subject Administrative District of Biel/Bienne E317885 entity
Predicate contains P35 FINISHED
Object Worben
Worben is a small municipality in the canton of Bern in Switzerland, located in the Seeland region near the city of Biel/Bienne.
 E1035304 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: Worben | Statement: [Administrative District of Biel/Bienne, contains, Worben]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Worben
Context triple: [Administrative District of Biel/Bienne, contains, Worben]
  • A. Wonfurt
    Wonfurt is a small municipality in the Haßberge district of Bavaria, Germany, known for its rural character and location along the Main River.
  • B. Worner
    Worner is a surname and variant spelling of "Warner," used by various individuals and families, particularly in English-speaking countries.
  • C. Wossek
    Wossek is a small town in what is now the Czech Republic, historically part of the Austro-Hungarian Empire and known as the birthplace of Hermann Kafka, father of writer Franz Kafka.
  • D. Wersing
    Wersing is a lesser-known Papuan language spoken on the Alor–Pantar archipelago in eastern Indonesia.
  • E. Wendorf
    Wendorf is a small locality in northeastern Germany, known as the birthplace of the renowned German artist and sculptor Günther Uecker.
  • 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: Worben
Triple: [Administrative District of Biel/Bienne, contains, Worben]
Generated description
Worben is a small municipality in the canton of Bern in Switzerland, located in the Seeland region near the city of Biel/Bienne.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Worben
Target entity description: Worben is a small municipality in the canton of Bern in Switzerland, located in the Seeland region near the city of Biel/Bienne.
  • A. Wonfurt
    Wonfurt is a small municipality in the Haßberge district of Bavaria, Germany, known for its rural character and location along the Main River.
  • B. Worner
    Worner is a surname and variant spelling of "Warner," used by various individuals and families, particularly in English-speaking countries.
  • C. Wossek
    Wossek is a small town in what is now the Czech Republic, historically part of the Austro-Hungarian Empire and known as the birthplace of Hermann Kafka, father of writer Franz Kafka.
  • D. Wersing
    Wersing is a lesser-known Papuan language spoken on the Alor–Pantar archipelago in eastern Indonesia.
  • E. Wendorf
    Wendorf is a small locality in northeastern Germany, known as the birthplace of the renowned German artist and sculptor Günther Uecker.
  • 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_69d806b5a3c08190b42c267fb092f98a completed April 9, 2026, 8:06 p.m.
NER Named-entity recognition batch_69d99e8839b48190b164414b418e756c completed April 11, 2026, 1:06 a.m.
NED1 Entity disambiguation (via context triple) batch_69f71f417e4081908ab2025a313bfad1 completed May 3, 2026, 10:11 a.m.
NEDg Description generation batch_69f7204ac36c8190a04e921442489e9c completed May 3, 2026, 10:15 a.m.
NED2 Entity disambiguation (via description) batch_69f7221af9e881908b65ab2e7aec0c78 completed May 3, 2026, 10:23 a.m.
Created at: April 9, 2026, 9:31 p.m.