Triple

T14556125
Position Surface form Disambiguated ID Type / Status
Subject Vilaine E341545 entity
Predicate passesNear P416 FINISHED
Object Rochefort-en-Terre
Rochefort-en-Terre is a picturesque medieval village in Brittany, France, renowned for its well-preserved stone architecture and status as one of the country’s most beautiful villages.
E1105975 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: Rochefort-en-Terre | Statement: [Vilaine, passesNear, Rochefort-en-Terre]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Rochefort-en-Terre
Context triple: [Vilaine, passesNear, Rochefort-en-Terre]
  • A. Rochefort
    Rochefort is a historic French port town on the Atlantic coast known for its naval heritage and maritime museum sites.
  • B. Rochefort
    Rochefort is a town in the Walloon region of Belgium, known for its historic abbey and Trappist beer.
  • C. Rochefort
    Rochefort is a municipality in the canton of Neuchâtel in western Switzerland.
  • D. La Guéroulde
    La Guéroulde is a small commune in northern France, located in the Eure department of the Normandy region.
  • E. Montoir-de-Bretagne
    Montoir-de-Bretagne is a commune in western France’s Loire-Atlantique department, known for its industrial and port activities near Saint-Nazaire.
  • 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: Rochefort-en-Terre
Triple: [Vilaine, passesNear, Rochefort-en-Terre]
Generated description
Rochefort-en-Terre is a picturesque medieval village in Brittany, France, renowned for its well-preserved stone architecture and status as one of the country’s most beautiful villages.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Rochefort-en-Terre
Target entity description: Rochefort-en-Terre is a picturesque medieval village in Brittany, France, renowned for its well-preserved stone architecture and status as one of the country’s most beautiful villages.
  • A. Rochefort
    Rochefort is a historic French port town on the Atlantic coast known for its naval heritage and maritime museum sites.
  • B. Rochefort
    Rochefort is a town in the Walloon region of Belgium, known for its historic abbey and Trappist beer.
  • C. Rochefort
    Rochefort is a municipality in the canton of Neuchâtel in western Switzerland.
  • D. La Guéroulde
    La Guéroulde is a small commune in northern France, located in the Eure department of the Normandy region.
  • E. Montoir-de-Bretagne
    Montoir-de-Bretagne is a commune in western France’s Loire-Atlantique department, known for its industrial and port activities near Saint-Nazaire.
  • 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_69d822db9c8481908213ceb39585f792 completed April 9, 2026, 10:06 p.m.
NER Named-entity recognition batch_69deb2f1490881908673f429e5288c86 completed April 14, 2026, 9:34 p.m.
NED1 Entity disambiguation (via context triple) batch_69fd8abde0308190819da6867e703ea7 completed May 8, 2026, 7:03 a.m.
NEDg Description generation batch_69fd8bb3c1188190b158d30e9c962911 completed May 8, 2026, 7:07 a.m.
NED2 Entity disambiguation (via description) batch_69fd8c6e7d448190835f87e27c998623 completed May 8, 2026, 7:10 a.m.
Created at: April 10, 2026, 1:23 a.m.