Triple

T16161187
Position Surface form Disambiguated ID Type / Status
Subject arrondissement of Toulouse E392182 entity
Predicate contains P35 FINISHED
Object Castanet-Tolosan
Castanet-Tolosan is a commune in southwestern France, located in the Haute-Garonne department near the city of Toulouse.
 E1198109 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: Castanet-Tolosan | Statement: [arrondissement of Toulouse, contains, Castanet-Tolosan]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Castanet-Tolosan
Context triple: [arrondissement of Toulouse, contains, Castanet-Tolosan]
  • A. Serques
    Serques is a small commune in the Pas-de-Calais department in northern France, situated within the administrative area of Saint-Omer.
  • B. Assencières
    Assencières is a small commune in the Aube department of north-central France.
  • C. Montauroux
    Montauroux is a picturesque commune in southeastern France’s Var department, known for its hilltop setting overlooking the Pays de Fayence and proximity to the French Riviera.
  • D. Targnon
    Targnon is a small village in the municipality of Stoumont in the province of Liège, Belgium.
  • E. Aiguillon
    Aiguillon is a commune in southwestern France, known for its strategic location at the confluence of the Lot and Garonne rivers.
  • 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: Castanet-Tolosan
Triple: [arrondissement of Toulouse, contains, Castanet-Tolosan]
Generated description
Castanet-Tolosan is a commune in southwestern France, located in the Haute-Garonne department near the city of Toulouse.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Castanet-Tolosan
Target entity description: Castanet-Tolosan is a commune in southwestern France, located in the Haute-Garonne department near the city of Toulouse.
  • A. Serques
    Serques is a small commune in the Pas-de-Calais department in northern France, situated within the administrative area of Saint-Omer.
  • B. Assencières
    Assencières is a small commune in the Aube department of north-central France.
  • C. Montauroux
    Montauroux is a picturesque commune in southeastern France’s Var department, known for its hilltop setting overlooking the Pays de Fayence and proximity to the French Riviera.
  • D. Targnon
    Targnon is a small village in the municipality of Stoumont in the province of Liège, Belgium.
  • E. Aiguillon
    Aiguillon is a commune in southwestern France, known for its strategic location at the confluence of the Lot and Garonne rivers.
  • 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_69d87f1d32208190942e4e499a80c18c completed April 10, 2026, 4:39 a.m.
NER Named-entity recognition batch_69e21e5f0cb48190aae995d88382e055 completed April 17, 2026, 11:49 a.m.
NED1 Entity disambiguation (via context triple) batch_69fff7b33f3481909fe856b8be7d9bcd completed May 10, 2026, 3:12 a.m.
NEDg Description generation batch_69fff86a556c819096bc008e1ca76e8c completed May 10, 2026, 3:15 a.m.
NED2 Entity disambiguation (via description) batch_69fff926120081909f1042bf3a16ea10 completed May 10, 2026, 3:19 a.m.
Created at: April 10, 2026, 5:02 a.m.