Triple

T21334551
Position Surface form Disambiguated ID Type / Status
Subject Lausanne District E526005 entity
Predicate contains P35 FINISHED
Object Epalinges
Epalinges is a municipality in the canton of Vaud in western Switzerland, situated on the northern outskirts of the city of Lausanne.
E1481927 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: Epalinges | Statement: [Lausanne District, contains, Epalinges]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Epalinges
Context triple: [Lausanne District, contains, Epalinges]
  • A. Arbois
    Arbois is a small French town in the Jura region renowned for its vineyards and distinctive Jura wines, particularly vin jaune.
  • B. Pougny
    Pougny is a small French commune, likely located near the Swiss border in the Auvergne-Rhône-Alpes region.
  • C. Villeroux
    Villeroux is a small village in the municipality of Vaux-sur-Sûre in the Walloon region of Belgium.
  • D. Seillans
    Seillans is a picturesque medieval hilltop village in southeastern France, known for its narrow cobbled streets, historic stone houses, and views over the Var countryside.
  • E. Armançon
    Armançon is a river in central-eastern France that flows through the Burgundy region before joining the Yonne River.
  • 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: Epalinges
Triple: [Lausanne District, contains, Epalinges]
Generated description
Epalinges is a municipality in the canton of Vaud in western Switzerland, situated on the northern outskirts of the city of Lausanne.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Epalinges
Target entity description: Epalinges is a municipality in the canton of Vaud in western Switzerland, situated on the northern outskirts of the city of Lausanne.
  • A. Arbois
    Arbois is a small French town in the Jura region renowned for its vineyards and distinctive Jura wines, particularly vin jaune.
  • B. Pougny
    Pougny is a small French commune, likely located near the Swiss border in the Auvergne-Rhône-Alpes region.
  • C. Villeroux
    Villeroux is a small village in the municipality of Vaux-sur-Sûre in the Walloon region of Belgium.
  • D. Seillans
    Seillans is a picturesque medieval hilltop village in southeastern France, known for its narrow cobbled streets, historic stone houses, and views over the Var countryside.
  • E. Armançon
    Armançon is a river in central-eastern France that flows through the Burgundy region before joining the Yonne River.
  • 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_69e0b51b90788190a4dd823d962626da completed April 16, 2026, 10:08 a.m.
NER Named-entity recognition batch_69e898d602c08190821c63e0aff42fc2 completed April 22, 2026, 9:45 a.m.
NED1 Entity disambiguation (via context triple) batch_6a09bb3bd9dc8190b7b0c6e41e9ee8e4 completed May 17, 2026, 12:57 p.m.
NEDg Description generation batch_6a09bea2b9788190b41d3da0b5f3329e completed May 17, 2026, 1:12 p.m.
NED2 Entity disambiguation (via description) batch_6a09bf3466848190b2a5793f5f51efd7 completed May 17, 2026, 1:14 p.m.
Created at: April 16, 2026, 4:43 p.m.