Triple

T5392722
Position Surface form Disambiguated ID Type / Status
Subject Trimbach E120370 entity
Predicate hasNeighboringMunicipality P224 FINISHED
Object Wisen
Wisen is a small municipality in the canton of Solothurn in Switzerland, situated in a rural, hilly region near the border with the canton of Basel-Landschaft.
 E517697 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: Wisen | Statement: [Trimbach, hasNeighboringMunicipality, Wisen]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Wisen
Context triple: [Trimbach, hasNeighboringMunicipality, Wisen]
  • A. the Wise
    "The Wise" is an honorific epithet denoting Yaroslav I of Kyiv’s reputation for wisdom and effective rule as a medieval Grand Prince of Kievan Rus'.
  • B. the Wise
    The Wise is the honorific epithet of Frederick III, Elector of Saxony, renowned for protecting Martin Luther and playing a key role in the early Reformation.
  • C. Wisser
    The Wisser is a river in Germany that serves as a right-bank tributary of the Sieg.
  • D. Wise
    Wise is a surname shared by various notable individuals across fields such as entertainment, politics, and academia.
  • E. Wise
    Wise is a London-based financial technology company best known for its low-cost international money transfer and multi-currency account services.
  • 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: Wisen
Triple: [Trimbach, hasNeighboringMunicipality, Wisen]
Generated description
Wisen is a small municipality in the canton of Solothurn in Switzerland, situated in a rural, hilly region near the border with the canton of Basel-Landschaft.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Wisen
Target entity description: Wisen is a small municipality in the canton of Solothurn in Switzerland, situated in a rural, hilly region near the border with the canton of Basel-Landschaft.
  • A. the Wise
    "The Wise" is an honorific epithet denoting Yaroslav I of Kyiv’s reputation for wisdom and effective rule as a medieval Grand Prince of Kievan Rus'.
  • B. the Wise
    The Wise is the honorific epithet of Frederick III, Elector of Saxony, renowned for protecting Martin Luther and playing a key role in the early Reformation.
  • C. Wisser
    The Wisser is a river in Germany that serves as a right-bank tributary of the Sieg.
  • D. Wise
    Wise is a surname shared by various notable individuals across fields such as entertainment, politics, and academia.
  • E. Wise
    Wise is a London-based financial technology company best known for its low-cost international money transfer and multi-currency account services.
  • 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_69bd46354c648190a38b26f107010a96 completed March 20, 2026, 1:05 p.m.
NER Named-entity recognition batch_69bd8719ff04819089e3a90f90b5e3fc completed March 20, 2026, 5:42 p.m.
NED1 Entity disambiguation (via context triple) batch_69bf3366a0588190b1e5e48be86471fe completed March 22, 2026, 12:10 a.m.
NEDg Description generation batch_69bf36295f608190b2c7d66874741d27 completed March 22, 2026, 12:22 a.m.
NED2 Entity disambiguation (via description) batch_69bf36c7b5988190901a7fb643313c11 completed March 22, 2026, 12:24 a.m.
Created at: March 20, 2026, 2:04 p.m.