Triple

T7922275
Position Surface form Disambiguated ID Type / Status
Subject Landwasser E183972 entity
Predicate flowsNear P350 FINISHED
Object Wiesen
Wiesen is a Swiss mountain village in the canton of Graubünden, known for its scenic alpine setting and proximity to the Landwasser River and the famous Landwasser Viaduct.
 E704929 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: Wiesen | Statement: [Landwasser, flowsNear, Wiesen]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Wiesen
Context triple: [Landwasser, flowsNear, Wiesen]
  • A. Wiesen
    Wiesen is a small locality that forms one of the subdivisions of the town of Lichtenfels in Germany.
  • B. Steigerwald
    Steigerwald is a forested hill range and nature area in northern Bavaria, Germany, known for its beech forests, vineyards, and traditional Franconian landscapes.
  • C. Wiese
    The Wiese is a river in southwestern Germany that flows through the Black Forest region before joining the Rhine.
  • D. Wiesengrund
    Wiesengrund is the original family name of the German philosopher, sociologist, and critical theorist Theodor W. Adorno.
  • E. Wilhering
    Wilhering is a municipality in Upper Austria, known for the historic Wilhering Abbey and its location near the city of Linz.
  • 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: Wiesen
Triple: [Landwasser, flowsNear, Wiesen]
Generated description
Wiesen is a Swiss mountain village in the canton of Graubünden, known for its scenic alpine setting and proximity to the Landwasser River and the famous Landwasser Viaduct.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Wiesen
Target entity description: Wiesen is a Swiss mountain village in the canton of Graubünden, known for its scenic alpine setting and proximity to the Landwasser River and the famous Landwasser Viaduct.
  • A. Wiesen
    Wiesen is a small locality that forms one of the subdivisions of the town of Lichtenfels in Germany.
  • B. Steigerwald
    Steigerwald is a forested hill range and nature area in northern Bavaria, Germany, known for its beech forests, vineyards, and traditional Franconian landscapes.
  • C. Wiese
    The Wiese is a river in southwestern Germany that flows through the Black Forest region before joining the Rhine.
  • D. Wiesengrund
    Wiesengrund is the original family name of the German philosopher, sociologist, and critical theorist Theodor W. Adorno.
  • E. Wilhering
    Wilhering is a municipality in Upper Austria, known for the historic Wilhering Abbey and its location near the city of Linz.
  • 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_69ca828efbe48190bd48482650182e79 completed March 30, 2026, 2:02 p.m.
NER Named-entity recognition batch_69cb3a9499cc8190b6bd81f4625c77ab completed March 31, 2026, 3:08 a.m.
NED1 Entity disambiguation (via context triple) batch_69cbe00951748190b6036cb359f2a6e3 completed March 31, 2026, 2:54 p.m.
NEDg Description generation batch_69cc46bfad4081908de1667b8a10ed0a completed March 31, 2026, 10:12 p.m.
NED2 Entity disambiguation (via description) batch_69cc47e7167881908dce54e8b4615900 completed March 31, 2026, 10:17 p.m.
Created at: March 30, 2026, 5:06 p.m.