Triple

T16020639
Position Surface form Disambiguated ID Type / Status
Subject Cèze E388587 entity
Predicate flowsThrough P225 FINISHED
Object Goudargues
Goudargues is a picturesque village in southern France’s Gard department, known for its canals, riverside setting, and charming historic center.
 E1191719 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: Goudargues | Statement: [Cèze, flowsThrough, Goudargues]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Goudargues
Context triple: [Cèze, flowsThrough, Goudargues]
  • A. Quarreux
    Quarreux is a scenic hamlet in the municipality of Stoumont in Belgium’s Ardennes region, known for its picturesque river landscapes and natural surroundings.
  • B. Fargas
    Fargas is a surname most notably associated with American actor Antonio Fargas, known for his character roles in film and television.
  • C. Gavisse
    Gavisse is a small commune in northeastern France, located in the Moselle department near the border with Luxembourg and Germany.
  • D. Vaugier
    Vaugier is the surname of Emmanuelle Vaugier, a Canadian actress and model known for roles in television series such as "Two and a Half Men" and "Smallville."
  • E. Vauvert
    Vauvert is a commune in southern France known for its location in the Gard department near the Camargue region.
  • 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: Goudargues
Triple: [Cèze, flowsThrough, Goudargues]
Generated description
Goudargues is a picturesque village in southern France’s Gard department, known for its canals, riverside setting, and charming historic center.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Goudargues
Target entity description: Goudargues is a picturesque village in southern France’s Gard department, known for its canals, riverside setting, and charming historic center.
  • A. Quarreux
    Quarreux is a scenic hamlet in the municipality of Stoumont in Belgium’s Ardennes region, known for its picturesque river landscapes and natural surroundings.
  • B. Fargas
    Fargas is a surname most notably associated with American actor Antonio Fargas, known for his character roles in film and television.
  • C. Gavisse
    Gavisse is a small commune in northeastern France, located in the Moselle department near the border with Luxembourg and Germany.
  • D. Vaugier
    Vaugier is the surname of Emmanuelle Vaugier, a Canadian actress and model known for roles in television series such as "Two and a Half Men" and "Smallville."
  • E. Vauvert
    Vauvert is a commune in southern France known for its location in the Gard department near the Camargue region.
  • 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_69d86dabcb7c8190b6a39d6831d2fa1b completed April 10, 2026, 3:25 a.m.
NER Named-entity recognition batch_69e183231f2c81908f4e4037c3aa180b completed April 17, 2026, 12:47 a.m.
NED1 Entity disambiguation (via context triple) batch_69ffdbcdf2548190999a6d093c7fb64a completed May 10, 2026, 1:13 a.m.
NEDg Description generation batch_69ffddf957d88190bc344e493e8d567e completed May 10, 2026, 1:23 a.m.
NED2 Entity disambiguation (via description) batch_69ffde49c5b481908294793326140c13 completed May 10, 2026, 1:24 a.m.
Created at: April 10, 2026, 4:55 a.m.