Triple

T15299396
Position Surface form Disambiguated ID Type / Status
Subject M2 (Lausanne Metro) E365743 entity
Predicate servesStation P839 FINISHED
Object Vigie
Vigie is a metro station in Lausanne, Switzerland, located on the city’s M2 line.
E1149179 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: Vigie | Statement: [M2 (Lausanne Metro), servesStation, Vigie]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Vigie
Context triple: [M2 (Lausanne Metro), servesStation, Vigie]
  • A. Vidette
    Vidette is a small rural city located in Burke County in the U.S. state of Georgia.
  • B. Cygnet
    Cygnet is a small rural town in southern Tasmania, Australia, known for its scenic Huon Valley setting, apple-growing heritage, and vibrant arts and folk music scene.
  • C. Faventia
    Faventia is the ancient Roman name for the Italian city of Faenza, historically known as an important settlement in northern Italy.
  • D. Bulwark
    Bulwark is a residential suburb located on the outskirts of the town of Chepstow in Monmouthshire, Wales.
  • E. Gamage
    Gamage is a surname of Welsh origin historically associated with several notable families and individuals in Britain.
  • 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: Vigie
Triple: [M2 (Lausanne Metro), servesStation, Vigie]
Generated description
Vigie is a metro station in Lausanne, Switzerland, located on the city’s M2 line.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Vigie
Target entity description: Vigie is a metro station in Lausanne, Switzerland, located on the city’s M2 line.
  • A. Vidette
    Vidette is a small rural city located in Burke County in the U.S. state of Georgia.
  • B. Cygnet
    Cygnet is a small rural town in southern Tasmania, Australia, known for its scenic Huon Valley setting, apple-growing heritage, and vibrant arts and folk music scene.
  • C. Faventia
    Faventia is the ancient Roman name for the Italian city of Faenza, historically known as an important settlement in northern Italy.
  • D. Bulwark
    Bulwark is a residential suburb located on the outskirts of the town of Chepstow in Monmouthshire, Wales.
  • E. Gamage
    Gamage is a surname of Welsh origin historically associated with several notable families and individuals in Britain.
  • 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_69d85a113ee881908e297a1d38dd79fa completed April 10, 2026, 2:01 a.m.
NER Named-entity recognition batch_69e03686bfb8819080ba0caae652170a completed April 16, 2026, 1:08 a.m.
NED1 Entity disambiguation (via context triple) batch_69feef8513a08190b2d2a7dde85dd43d completed May 9, 2026, 8:25 a.m.
NEDg Description generation batch_69fef23de4688190beeb59ef43891e3d completed May 9, 2026, 8:37 a.m.
NED2 Entity disambiguation (via description) batch_69fef2d8fe04819084bb3deb6859d746 completed May 9, 2026, 8:39 a.m.
Created at: April 10, 2026, 3:15 a.m.