Triple

T20456386
Position Surface form Disambiguated ID Type / Status
Subject RER Vaud E501798 entity
Predicate connects P390 FINISHED
Object Palézieux
Palézieux is a village and railway junction in the canton of Vaud, Switzerland, serving as a regional transport hub.
 E1442288 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: Palézieux | Statement: [RER Vaud, connects, Palézieux]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Palézieux
Context triple: [RER Vaud, connects, Palézieux]
  • A. Peseux
    Peseux is a former municipality in the canton of Neuchâtel in western Switzerland, now part of the city of Neuchâtel.
  • B. Pauxi
    Pauxi is a small genus of large, ground-dwelling curassows (game birds) native to the tropical forests of northern South America.
  • C. Chambois
    Chambois is a small town in Normandy, France, best known as a key site of the decisive encirclement and defeat of German forces during the 1944 Falaise Pocket in World War II.
  • D. Hurepoix
    Hurepoix is a historic region of northern France, southwest of Paris, known for its rural landscapes and small towns such as Dourdan.
  • E. Anciaux
    Anciaux is a Belgian surname most notably associated with politician Bert Anciaux.
  • 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: Palézieux
Triple: [RER Vaud, connects, Palézieux]
Generated description
Palézieux is a village and railway junction in the canton of Vaud, Switzerland, serving as a regional transport hub.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Palézieux
Target entity description: Palézieux is a village and railway junction in the canton of Vaud, Switzerland, serving as a regional transport hub.
  • A. Peseux
    Peseux is a former municipality in the canton of Neuchâtel in western Switzerland, now part of the city of Neuchâtel.
  • B. Pauxi
    Pauxi is a small genus of large, ground-dwelling curassows (game birds) native to the tropical forests of northern South America.
  • C. Chambois
    Chambois is a small town in Normandy, France, best known as a key site of the decisive encirclement and defeat of German forces during the 1944 Falaise Pocket in World War II.
  • D. Hurepoix
    Hurepoix is a historic region of northern France, southwest of Paris, known for its rural landscapes and small towns such as Dourdan.
  • E. Anciaux
    Anciaux is a Belgian surname most notably associated with politician Bert Anciaux.
  • 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_69e0b4ad4940819098cf2ff6413574e5 completed April 16, 2026, 10:06 a.m.
NER Named-entity recognition batch_69e696a1b03c8190984d9db6d3251308 completed April 20, 2026, 9:12 p.m.
NED1 Entity disambiguation (via context triple) batch_6a08c572fa648190b1b7644f34702b1f completed May 16, 2026, 7:28 p.m.
NEDg Description generation batch_6a08c648e35881908c480b0afa383422 completed May 16, 2026, 7:32 p.m.
NED2 Entity disambiguation (via description) batch_6a08c6c6f9608190bdbcdd58f6b14008 completed May 16, 2026, 7:34 p.m.
Created at: April 16, 2026, 11:32 a.m.