Triple

T9558021
Position Surface form Disambiguated ID Type / Status
Subject Veveyse district E230591 entity
Predicate namedAfter P63 FINISHED
Object Veveyse river
The Veveyse river is a small watercourse in western Switzerland that flows through the canton of Fribourg and lends its name to the surrounding Veveyse district.
E828887 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: Veveyse river | Statement: [Veveyse district, namedAfter, Veveyse river]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Veveyse river
Context triple: [Veveyse district, namedAfter, Veveyse river]
  • A. Bienne River
    The Bienne River is a watercourse in eastern France that flows through the Jura region before joining the Ain River.
  • B. Morges River
    The Morges River is a small river in western Switzerland that drains into Lake Geneva near the town of Morges.
  • C. Arveyron River
    The Arveyron River is a mountain stream in the French Alps that drains glaciers near Chamonix before joining the Arve River.
  • D. Arroux River
    The Arroux River is a waterway in central France that flows through the Burgundy region, including the historic town of Autun, before joining the Loire River.
  • E. Ouvèze River
    The Ouvèze River is a river in southeastern France that flows through the Drôme and Vaucluse departments before joining the Rhône.
  • 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: Veveyse river
Triple: [Veveyse district, namedAfter, Veveyse river]
Generated description
The Veveyse river is a small watercourse in western Switzerland that flows through the canton of Fribourg and lends its name to the surrounding Veveyse district.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Veveyse river
Target entity description: The Veveyse river is a small watercourse in western Switzerland that flows through the canton of Fribourg and lends its name to the surrounding Veveyse district.
  • A. Bienne River
    The Bienne River is a watercourse in eastern France that flows through the Jura region before joining the Ain River.
  • B. Morges River
    The Morges River is a small river in western Switzerland that drains into Lake Geneva near the town of Morges.
  • C. Arveyron River
    The Arveyron River is a mountain stream in the French Alps that drains glaciers near Chamonix before joining the Arve River.
  • D. Arroux River
    The Arroux River is a waterway in central France that flows through the Burgundy region, including the historic town of Autun, before joining the Loire River.
  • E. Ouvèze River
    The Ouvèze River is a river in southeastern France that flows through the Drôme and Vaucluse departments before joining the Rhône.
  • 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_69ca847e53a88190a60eed7e02257f10 completed March 30, 2026, 2:11 p.m.
NER Named-entity recognition batch_69cd99487b4c819086e02e29e37b593f completed April 1, 2026, 10:16 p.m.
NED1 Entity disambiguation (via context triple) batch_69d20cbe7fb88190a945870540d4c973 completed April 5, 2026, 7:18 a.m.
NEDg Description generation batch_69d20f2aa6588190b842641d41f6179a completed April 5, 2026, 7:28 a.m.
NED2 Entity disambiguation (via description) batch_69d20f7c328c8190a58ad56e9e63cba0 completed April 5, 2026, 7:30 a.m.
Created at: March 30, 2026, 8:03 p.m.