Triple

T20664928
Position Surface form Disambiguated ID Type / Status
Subject Toulouse Metro Line A E507858 entity
Predicate hasStation P35 FINISHED
Object Bagatelle
Bagatelle is a metro station on Line A of the Toulouse Metro system in Toulouse, France.
 E1443814 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: Bagatelle | Statement: [Toulouse Metro Line A, hasStation, Bagatelle]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Bagatelle
Context triple: [Toulouse Metro Line A, hasStation, Bagatelle]
  • A. Bagatelle
    Bagatelle is a small settlement located within Saint Patrick Parish on the Caribbean island nation of Dominica.
  • B. Bagatelle #2
    Bagatelle #2 is a musical track featured on the album "Like Minds."
  • C. La Balançoire
    La Balançoire is an 18th-century Rococo painting by Jean-Honoré Fragonard, celebrated for its playful, romantic depiction of a young woman on a swing in a lush garden.
  • D. La Mélodie
    La Mélodie is a song by French singer Vanessa Paradis from her 2007 studio album "Divinidylle."
  • E. La Basoche
    La Basoche is an opéra-comique by André Messager, first performed in 1890 and known for its lively score and humorous depiction of medieval Parisian law clerks.
  • 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: Bagatelle
Triple: [Toulouse Metro Line A, hasStation, Bagatelle]
Generated description
Bagatelle is a metro station on Line A of the Toulouse Metro system in Toulouse, France.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Bagatelle
Target entity description: Bagatelle is a metro station on Line A of the Toulouse Metro system in Toulouse, France.
  • A. Bagatelle
    Bagatelle is a small settlement located within Saint Patrick Parish on the Caribbean island nation of Dominica.
  • B. Bagatelle #2
    Bagatelle #2 is a musical track featured on the album "Like Minds."
  • C. La Balançoire
    La Balançoire is an 18th-century Rococo painting by Jean-Honoré Fragonard, celebrated for its playful, romantic depiction of a young woman on a swing in a lush garden.
  • D. La Mélodie
    La Mélodie is a song by French singer Vanessa Paradis from her 2007 studio album "Divinidylle."
  • E. La Basoche
    La Basoche is an opéra-comique by André Messager, first performed in 1890 and known for its lively score and humorous depiction of medieval Parisian law clerks.
  • 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_69e0b4c059bc81908ea762cd73ea4424 completed April 16, 2026, 10:06 a.m.
NER Named-entity recognition batch_69e6b5c2c6d48190bbfe505cf7d973f9 completed April 20, 2026, 11:24 p.m.
NED1 Entity disambiguation (via context triple) batch_6a08cd5d0da481909eebd69b8b314503 completed May 16, 2026, 8:02 p.m.
NEDg Description generation batch_6a08d175206c8190b119bb1a2d06462f completed May 16, 2026, 8:20 p.m.
NED2 Entity disambiguation (via description) batch_6a08d28e02fc8190ab694673156ab0c0 completed May 16, 2026, 8:24 p.m.
Created at: April 16, 2026, 11:44 a.m.