Triple

T12506210
Position Surface form Disambiguated ID Type / Status
Subject Ligerz–Prêles funicular E298954 entity
Predicate terminusUpper P38720 FINISHED
Object Prêles
Prêles is a village in the canton of Bern, Switzerland, situated on a plateau above Lake Biel and known as the upper terminus of the Ligerz–Prêles funicular railway.
 E986756 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: Prêles | Statement: [Ligerz–Prêles funicular, terminusUpper, Prêles]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Prêles
Context triple: [Ligerz–Prêles funicular, terminusUpper, Prêles]
  • A. Lauzerte
    Lauzerte is a medieval hilltop village in southern France known for its well-preserved historic center and picturesque views over the surrounding countryside.
  • B. Sambreville
    Sambreville is a municipality in the Walloon region of Belgium, situated along the Sambre River and known for its industrial and mining heritage.
  • C. Puygros
    Puygros is a small French village located in the Alpine foothills within the Massif des Bauges region of southeastern France.
  • D. Sauvy
    Sauvy is a French surname most notably borne by Alfred Sauvy, a prominent demographer, sociologist, and economist.
  • E. Boissière
    Boissière is a Paris Métro station on the city’s Right Bank, located in the 16th arrondissement near the Trocadéro area.
  • 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: Prêles
Triple: [Ligerz–Prêles funicular, terminusUpper, Prêles]
Generated description
Prêles is a village in the canton of Bern, Switzerland, situated on a plateau above Lake Biel and known as the upper terminus of the Ligerz–Prêles funicular railway.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Prêles
Target entity description: Prêles is a village in the canton of Bern, Switzerland, situated on a plateau above Lake Biel and known as the upper terminus of the Ligerz–Prêles funicular railway.
  • A. Lauzerte
    Lauzerte is a medieval hilltop village in southern France known for its well-preserved historic center and picturesque views over the surrounding countryside.
  • B. Sambreville
    Sambreville is a municipality in the Walloon region of Belgium, situated along the Sambre River and known for its industrial and mining heritage.
  • C. Puygros
    Puygros is a small French village located in the Alpine foothills within the Massif des Bauges region of southeastern France.
  • D. Sauvy
    Sauvy is a French surname most notably borne by Alfred Sauvy, a prominent demographer, sociologist, and economist.
  • E. Boissière
    Boissière is a Paris Métro station on the city’s Right Bank, located in the 16th arrondissement near the Trocadéro area.
  • 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_69d6ada4cd388190ae3bbf83ff87057a completed April 8, 2026, 7:33 p.m.
NER Named-entity recognition batch_69d94dfddf38819099263b8b1e804736 completed April 10, 2026, 7:22 p.m.
NED1 Entity disambiguation (via context triple) batch_69f64bb5af708190b3786da334c3bf23 completed May 2, 2026, 7:08 p.m.
NEDg Description generation batch_69f64ce1b0ec8190bcbd245255e548b5 completed May 2, 2026, 7:13 p.m.
NED2 Entity disambiguation (via description) batch_69f64da735f48190b051ce173c13e5b2 completed May 2, 2026, 7:16 p.m.
Created at: April 8, 2026, 9:57 p.m.