Triple

T12765655
Position Surface form Disambiguated ID Type / Status
Subject Montpellier tramway E305115 entity
Predicate vehicleDesigner P15904 FINISHED
Object Garouste and Bonetti
Garouste and Bonetti is a French design duo known for their imaginative, art-inspired furniture and interior design work.
 E1001899 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: Garouste and Bonetti | Statement: [Montpellier tramway, vehicleDesigner, Garouste and Bonetti]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Garouste and Bonetti
Context triple: [Montpellier tramway, vehicleDesigner, Garouste and Bonetti]
  • A. Bertinelli
    Bertinelli is an Italian-origin surname most prominently associated with American actress and television personality Valerie Bertinelli.
  • B. Barbato
    Barbato is an Italian surname associated with individuals of Italian heritage, including Nancy Barbato, the first wife of singer Frank Sinatra.
  • C. Baciocchi
    Baciocchi is an Italian surname most notably associated with Félix Baciocchi, a Corsican nobleman and brother-in-law of Napoleon Bonaparte.
  • D. Barsotti
    Barsotti is an Italian-origin surname borne by various notable individuals in fields such as art, mathematics, and sports.
  • E. Mistinguett
    Mistinguett was a famous French actress and singer of the early 20th century, celebrated as one of Paris’s most iconic music-hall stars.
  • 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: Garouste and Bonetti
Triple: [Montpellier tramway, vehicleDesigner, Garouste and Bonetti]
Generated description
Garouste and Bonetti is a French design duo known for their imaginative, art-inspired furniture and interior design work.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Garouste and Bonetti
Target entity description: Garouste and Bonetti is a French design duo known for their imaginative, art-inspired furniture and interior design work.
  • A. Bertinelli
    Bertinelli is an Italian-origin surname most prominently associated with American actress and television personality Valerie Bertinelli.
  • B. Barbato
    Barbato is an Italian surname associated with individuals of Italian heritage, including Nancy Barbato, the first wife of singer Frank Sinatra.
  • C. Baciocchi
    Baciocchi is an Italian surname most notably associated with Félix Baciocchi, a Corsican nobleman and brother-in-law of Napoleon Bonaparte.
  • D. Barsotti
    Barsotti is an Italian-origin surname borne by various notable individuals in fields such as art, mathematics, and sports.
  • E. Mistinguett
    Mistinguett was a famous French actress and singer of the early 20th century, celebrated as one of Paris’s most iconic music-hall stars.
  • 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_69d7bdf1fcd081909ffb0e0d6fa3a07d completed April 9, 2026, 2:55 p.m.
NER Named-entity recognition batch_69d96facb2d48190bc12efc00c9da360 completed April 10, 2026, 9:46 p.m.
NED1 Entity disambiguation (via context triple) batch_69f684f4e1508190a6f023f1d1dc192e completed May 2, 2026, 11:12 p.m.
NEDg Description generation batch_69f6863fada48190afe2ff7896a60094 completed May 2, 2026, 11:18 p.m.
NED2 Entity disambiguation (via description) batch_69f686bcac94819088782273effbb06a completed May 2, 2026, 11:20 p.m.
Created at: April 9, 2026, 5:28 p.m.