Triple

T20447562
Position Surface form Disambiguated ID Type / Status
Subject canton of L’Isle-sur-la-Sorgue E501555 entity
Predicate contains P35 FINISHED
Object Banon
Banon is a small commune in southeastern France, known for its traditional goat cheese wrapped in chestnut leaves and its picturesque Provençal setting.
 E1431852 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: Banon | Statement: [canton of L’Isle-sur-la-Sorgue, contains, Banon]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Banon
Context triple: [canton of L’Isle-sur-la-Sorgue, contains, Banon]
  • A. Le Bon
    Le Bon is a French surname borne by various notable individuals, including actress and filmmaker Charlotte Le Bon.
  • B. Jobat
    Jobat is a legislative assembly constituency in the Alirajpur district of Madhya Pradesh, India, represented in the state's Vidhan Sabha.
  • C. Carlone
    Carlone is an Italian surname, historically associated with several notable artists and architects from the Renaissance and Baroque periods.
  • D. Treves
    Treves was a prominent Italian publishing house known for issuing major literary works in the late 19th and early 20th centuries.
  • E. Treves
    Treves, better known as Trier, is a historic German city on the Moselle River renowned for its well-preserved Roman monuments and status as one of Germany’s oldest cities.
  • 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: Banon
Triple: [canton of L’Isle-sur-la-Sorgue, contains, Banon]
Generated description
Banon is a small commune in southeastern France, known for its traditional goat cheese wrapped in chestnut leaves and its picturesque Provençal setting.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Banon
Target entity description: Banon is a small commune in southeastern France, known for its traditional goat cheese wrapped in chestnut leaves and its picturesque Provençal setting.
  • A. Le Bon
    Le Bon is a French surname borne by various notable individuals, including actress and filmmaker Charlotte Le Bon.
  • B. Jobat
    Jobat is a legislative assembly constituency in the Alirajpur district of Madhya Pradesh, India, represented in the state's Vidhan Sabha.
  • C. Carlone
    Carlone is an Italian surname, historically associated with several notable artists and architects from the Renaissance and Baroque periods.
  • D. Treves
    Treves was a prominent Italian publishing house known for issuing major literary works in the late 19th and early 20th centuries.
  • E. Treves
    Treves, better known as Trier, is a historic German city on the Moselle River renowned for its well-preserved Roman monuments and status as one of Germany’s oldest cities.
  • 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_69e0b4ac0a1c81908845d0f8a56abce8 completed April 16, 2026, 10:06 a.m.
NER Named-entity recognition batch_69e68cfe57a8819094bd3d324bd567f5 completed April 20, 2026, 8:30 p.m.
NED1 Entity disambiguation (via context triple) batch_6a0884056b4c81909d06e4cbba56533f completed May 16, 2026, 2:49 p.m.
NEDg Description generation batch_6a0886c7b794819091e4b7915bcbe858 completed May 16, 2026, 3:01 p.m.
NED2 Entity disambiguation (via description) batch_6a08876380048190aa9d0e20f3752a0f completed May 16, 2026, 3:04 p.m.
Created at: April 16, 2026, 11:32 a.m.