Triple

T6340698
Position Surface form Disambiguated ID Type / Status
Subject Morbihan E142615 entity
Predicate contains P35 FINISHED
Object Auray
Auray is a historic coastal town in Brittany, northwestern France, known for its picturesque old port of Saint-Goustan and medieval architecture.
 E586177 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: Auray | Statement: [Morbihan, contains, Auray]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Auray
Context triple: [Morbihan, contains, Auray]
  • A. Gouvy
    Gouvy is a rural municipality in the Belgian province of Luxembourg, known for its natural landscapes and proximity to the Ardennes region.
  • B. Hennebont
    Hennebont is a historic town in the Morbihan department of Brittany in northwestern France, known for its medieval ramparts and cultural heritage.
  • C. Braye
    Braye is a river in central France that serves as a tributary of the Loir.
  • D. Châteaubriant
    Châteaubriant is a historic town in western France known for its medieval castle and role as a local administrative and cultural center.
  • E. Savenay
    Savenay is a small town in western France known for its historical role in the War in the Vendée and its location between Nantes and 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: Auray
Triple: [Morbihan, contains, Auray]
Generated description
Auray is a historic coastal town in Brittany, northwestern France, known for its picturesque old port of Saint-Goustan and medieval architecture.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Auray
Target entity description: Auray is a historic coastal town in Brittany, northwestern France, known for its picturesque old port of Saint-Goustan and medieval architecture.
  • A. Gouvy
    Gouvy is a rural municipality in the Belgian province of Luxembourg, known for its natural landscapes and proximity to the Ardennes region.
  • B. Hennebont
    Hennebont is a historic town in the Morbihan department of Brittany in northwestern France, known for its medieval ramparts and cultural heritage.
  • C. Braye
    Braye is a river in central France that serves as a tributary of the Loir.
  • D. Châteaubriant
    Châteaubriant is a historic town in western France known for its medieval castle and role as a local administrative and cultural center.
  • E. Savenay
    Savenay is a small town in western France known for its historical role in the War in the Vendée and its location between Nantes and 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_69c008d5ab108190b346c465696824a9 completed March 22, 2026, 3:20 p.m.
NER Named-entity recognition batch_69c0674311388190bb069a07a7ff60ef completed March 22, 2026, 10:03 p.m.
NED1 Entity disambiguation (via context triple) batch_69c6043afb4081908d480ad868625909 completed March 27, 2026, 4:14 a.m.
NEDg Description generation batch_69c605eb80308190b2c2f0d1f35b060d completed March 27, 2026, 4:22 a.m.
NED2 Entity disambiguation (via description) batch_69c6065044908190b2ba71490a3bae54 completed March 27, 2026, 4:23 a.m.
Created at: March 22, 2026, 4:30 p.m.