Triple

T21654716
Position Surface form Disambiguated ID Type / Status
Subject Lake Moossee E534427 entity
Predicate inflow P415 FINISHED
Object Urtenenbach
Urtenenbach is a stream in the Swiss canton of Bern that serves as a primary tributary feeding into Lake Moossee.
E1500366 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: Urtenenbach | Statement: [Lake Moossee, inflow, Urtenenbach]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Urtenenbach
Context triple: [Lake Moossee, inflow, Urtenenbach]
  • A. Wenzenbach
    Wenzenbach is a municipality in Bavaria, Germany, historically noted as the site of the 1504 Battle of Wenzenbach during the Landshut War of Succession.
  • B. Oeschenbach
    Oeschenbach is a small municipality in the Oberaargau region of the canton of Bern in Switzerland.
  • C. Pfiffelbach
    Pfiffelbach is a small municipality in the Weimarer Land district of the German federal state of Thuringia.
  • D. Oeschibach
    Oeschibach is a mountain stream in the Bernese Oberland region of Switzerland that drains the waters of Oeschinen Lake into the Kander Valley.
  • E. Breitenbach
    Breitenbach is a municipality in the canton of Solothurn in northwestern Switzerland, known for its location in the Thierstein district near the French border.
  • 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: Urtenenbach
Triple: [Lake Moossee, inflow, Urtenenbach]
Generated description
Urtenenbach is a stream in the Swiss canton of Bern that serves as a primary tributary feeding into Lake Moossee.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Urtenenbach
Target entity description: Urtenenbach is a stream in the Swiss canton of Bern that serves as a primary tributary feeding into Lake Moossee.
  • A. Wenzenbach
    Wenzenbach is a municipality in Bavaria, Germany, historically noted as the site of the 1504 Battle of Wenzenbach during the Landshut War of Succession.
  • B. Oeschenbach
    Oeschenbach is a small municipality in the Oberaargau region of the canton of Bern in Switzerland.
  • C. Pfiffelbach
    Pfiffelbach is a small municipality in the Weimarer Land district of the German federal state of Thuringia.
  • D. Oeschibach
    Oeschibach is a mountain stream in the Bernese Oberland region of Switzerland that drains the waters of Oeschinen Lake into the Kander Valley.
  • E. Breitenbach
    Breitenbach is a municipality in the canton of Solothurn in northwestern Switzerland, known for its location in the Thierstein district near the French border.
  • 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_69e0c467e1f48190af2650b19175abc4 completed April 16, 2026, 11:13 a.m.
NER Named-entity recognition batch_69ef59176b28819092384fc5f8968022 completed April 27, 2026, 12:39 p.m.
NED1 Entity disambiguation (via context triple) batch_6a0a366221f48190bcb79d293330e240 completed May 17, 2026, 9:42 p.m.
NEDg Description generation batch_6a0a375bce908190b7d1433c4ac500c9 completed May 17, 2026, 9:47 p.m.
NED2 Entity disambiguation (via description) batch_6a0a37e2aa048190a8e0bcd3a106a9aa completed May 17, 2026, 9:49 p.m.
Created at: April 16, 2026, 6:36 p.m.