Triple

T842639
Position Surface form Disambiguated ID Type / Status
Subject Gland, Switzerland E18209 entity
Predicate locatedNear P294 FINISHED
Object Rolle
Rolle is a picturesque Swiss town on the shores of Lake Geneva, known for its lakeside promenade, historic castle, and surrounding vineyards.
 E100491 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: Rolle | Statement: [Gland, Switzerland, locatedNear, Rolle]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Rolle
Context triple: [Gland, Switzerland, locatedNear, Rolle]
  • A. Rolen
    Rolen is a surname most notably associated with Scott Rolen, a Hall of Fame Major League Baseball third baseman.
  • B. René
    René is a French given name commonly used for males and historically associated with several notable figures in politics, arts, and philosophy.
  • C. Roussel
    Roussel is a surname of French origin, often used as an alternative spelling of Russell.
  • D. Bertrando
    Bertrando is an Italian given name and surname, historically borne by several notable figures including nobles and churchmen.
  • E. Eugène
    Eugène is a masculine given name of French origin, derived from the Greek "Eugenios," meaning "well-born" or "noble."
  • 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: Rolle
Triple: [Gland, Switzerland, locatedNear, Rolle]
Generated description
Rolle is a picturesque Swiss town on the shores of Lake Geneva, known for its lakeside promenade, historic castle, and surrounding vineyards.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Rolle
Target entity description: Rolle is a picturesque Swiss town on the shores of Lake Geneva, known for its lakeside promenade, historic castle, and surrounding vineyards.
  • A. Rolen
    Rolen is a surname most notably associated with Scott Rolen, a Hall of Fame Major League Baseball third baseman.
  • B. René
    René is a French given name commonly used for males and historically associated with several notable figures in politics, arts, and philosophy.
  • C. Roussel
    Roussel is a surname of French origin, often used as an alternative spelling of Russell.
  • D. Bertrando
    Bertrando is an Italian given name and surname, historically borne by several notable figures including nobles and churchmen.
  • E. Eugène
    Eugène is a masculine given name of French origin, derived from the Greek "Eugenios," meaning "well-born" or "noble."
  • 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_69a4938b04208190b82e1df6b572c548 completed March 1, 2026, 7:29 p.m.
NER Named-entity recognition batch_69a4abe8a0bc81909b54af465e67be1f completed March 1, 2026, 9:13 p.m.
NED1 Entity disambiguation (via context triple) batch_69a7929a91088190bef474424bde527c completed March 4, 2026, 2:02 a.m.
NEDg Description generation batch_69a793609f148190b191c1d77cad0c80 completed March 4, 2026, 2:05 a.m.
NED2 Entity disambiguation (via description) batch_69a793d0aac081909acf83bb60fd2a2c completed March 4, 2026, 2:07 a.m.
Created at: March 1, 2026, 7:38 p.m.