Triple

T23362469
Position Surface form Disambiguated ID Type / Status
Subject arrondissement of Vannes E593220 entity
Predicate contains P35 FINISHED
Object Séné
Séné is a coastal commune in the Morbihan department of Brittany in northwestern France, known for its salt marshes, birdlife, and location on the Gulf of Morbihan.
E1588290 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: Séné | Statement: [arrondissement of Vannes, contains, Séné]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Séné
Context triple: [arrondissement of Vannes, contains, Séné]
  • A. Sénou
    Sénou is a locality on the outskirts of Bamako, Mali, known for hosting the country’s main international airport.
  • B. Niger
    Niger is a landlocked West African country in the Sahel region, known for its vast desert landscapes, uranium resources, and predominantly rural population.
  • C. Senegal
    Senegal is a West African country on the Atlantic coast known for its vibrant culture, historic role in transatlantic trade, and diverse coastal and Sahelian landscapes.
  • D. Bongouanou
    Bongouanou is a Central Tano language spoken in parts of West Africa, likely associated with communities in and around the town of Bongouanou in Côte d'Ivoire.
  • E. Gouédic
    Gouédic is a small river in the Côtes-d'Armor department of Brittany in northwestern France.
  • 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: Séné
Triple: [arrondissement of Vannes, contains, Séné]
Generated description
Séné is a coastal commune in the Morbihan department of Brittany in northwestern France, known for its salt marshes, birdlife, and location on the Gulf of Morbihan.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Séné
Target entity description: Séné is a coastal commune in the Morbihan department of Brittany in northwestern France, known for its salt marshes, birdlife, and location on the Gulf of Morbihan.
  • A. Sénou
    Sénou is a locality on the outskirts of Bamako, Mali, known for hosting the country’s main international airport.
  • B. Niger
    Niger is a landlocked West African country in the Sahel region, known for its vast desert landscapes, uranium resources, and predominantly rural population.
  • C. Senegal
    Senegal is a West African country on the Atlantic coast known for its vibrant culture, historic role in transatlantic trade, and diverse coastal and Sahelian landscapes.
  • D. Bongouanou
    Bongouanou is a Central Tano language spoken in parts of West Africa, likely associated with communities in and around the town of Bongouanou in Côte d'Ivoire.
  • E. Gouédic
    Gouédic is a small river in the Côtes-d'Armor department of Brittany in northwestern France.
  • 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_69e25d2593c88190bcdf4a716a94ccb2 completed April 17, 2026, 4:17 p.m.
NER Named-entity recognition batch_69f1a0aa0ed88190b0198cbfd1bcc59b completed April 29, 2026, 6:09 a.m.
NED1 Entity disambiguation (via context triple) batch_6a0c823ca578819090ebde9a0a08fc79 completed May 19, 2026, 3:31 p.m.
NEDg Description generation batch_6a0ca6eda1f481908482f3a66d576c3c completed May 19, 2026, 6:07 p.m.
NED2 Entity disambiguation (via description) batch_6a0ca7c5176c81908221307bb50ff4ed completed May 19, 2026, 6:11 p.m.
Created at: April 17, 2026, 5:30 p.m.