Triple

T16445938
Position Surface form Disambiguated ID Type / Status
Subject arrondissement of Castelsarrasin E399424 entity
Predicate contains P35 FINISHED
Object Bardigues
Bardigues is a small commune in the Tarn-et-Garonne department in southern France.
E1223725 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: Bardigues | Statement: [arrondissement of Castelsarrasin, contains, Bardigues]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Bardigues
Context triple: [arrondissement of Castelsarrasin, contains, Bardigues]
  • A. Badaroux
    Badaroux is a small commune in the Lozère department of southern France, situated within the administrative area of the arrondissement of Mende.
  • B. Debourg
    Debourg is a tram terminus and transport hub in Lyon, France, serving as one end of the city’s T1 tram line.
  • C. Bessières
    Bessières is a metro station on the Lausanne Métro network in Lausanne, Switzerland.
  • D. Bessières
    Bessières is a French surname most notably borne by Jean-Baptiste Bessières, a Marshal of the Empire under Napoleon.
  • E. Goudargues
    Goudargues is a picturesque village in southern France’s Gard department, known for its canals, riverside setting, and charming historic center.
  • 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: Bardigues
Triple: [arrondissement of Castelsarrasin, contains, Bardigues]
Generated description
Bardigues is a small commune in the Tarn-et-Garonne department in southern France.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Bardigues
Target entity description: Bardigues is a small commune in the Tarn-et-Garonne department in southern France.
  • A. Badaroux
    Badaroux is a small commune in the Lozère department of southern France, situated within the administrative area of the arrondissement of Mende.
  • B. Debourg
    Debourg is a tram terminus and transport hub in Lyon, France, serving as one end of the city’s T1 tram line.
  • C. Bessières
    Bessières is a French surname most notably borne by Jean-Baptiste Bessières, a Marshal of the Empire under Napoleon.
  • D. Bessières
    Bessières is a metro station on the Lausanne Métro network in Lausanne, Switzerland.
  • E. Goudargues
    Goudargues is a picturesque village in southern France’s Gard department, known for its canals, riverside setting, and charming historic center.
  • 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_69d87f2c6778819080fcfae53be8f12a completed April 10, 2026, 4:40 a.m.
NER Named-entity recognition batch_69e32cdcedf8819080aa82a8712c0b42 completed April 18, 2026, 7:03 a.m.
NED1 Entity disambiguation (via context triple) batch_6a007d9c8de4819093ae3901cf0c8805 completed May 10, 2026, 12:44 p.m.
NEDg Description generation batch_6a007e6507208190b3f32c05a2f647bd completed May 10, 2026, 12:47 p.m.
NED2 Entity disambiguation (via description) batch_6a007f2cefa081908734a907da33a72f completed May 10, 2026, 12:50 p.m.
Created at: April 10, 2026, 5:10 a.m.