Triple

T3795192
Position Surface form Disambiguated ID Type / Status
Subject Gard E89752 entity
Predicate containsRiver P165 FINISHED
Object Cèze
The Cèze is a river in southern France known for its scenic gorges, clear waters, and popular swimming and canoeing spots.
 E388587 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: Cèze | Statement: [Gard, containsRiver, Cèze]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Cèze
Context triple: [Gard, containsRiver, Cèze]
  • A. Alès
    Alès is a historic industrial town in southern France, located at the foot of the Cévennes mountains.
  • B. Confignon
    Confignon is a small municipality in the canton of Geneva in southwestern Switzerland, known for its residential character and proximity to the city of Geneva.
  • C. Côte de Sézanne
    Côte de Sézanne is a lesser-known Champagne-producing area in northeastern France, recognized for its chalky soils and Chardonnay-focused vineyards that contribute fresh, elegant base wines to many Champagne blends.
  • D. Chénas
    Chénas is a French appellation in the Beaujolais wine region known for producing structured, age-worthy red wines primarily from the Gamay grape.
  • E. Sauvy
    Sauvy is a French surname most notably borne by Alfred Sauvy, a prominent demographer, sociologist, and economist.
  • 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: Cèze
Triple: [Gard, containsRiver, Cèze]
Generated description
The Cèze is a river in southern France known for its scenic gorges, clear waters, and popular swimming and canoeing spots.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Cèze
Target entity description: The Cèze is a river in southern France known for its scenic gorges, clear waters, and popular swimming and canoeing spots.
  • A. Alès
    Alès is a historic industrial town in southern France, located at the foot of the Cévennes mountains.
  • B. Confignon
    Confignon is a small municipality in the canton of Geneva in southwestern Switzerland, known for its residential character and proximity to the city of Geneva.
  • C. Côte de Sézanne
    Côte de Sézanne is a lesser-known Champagne-producing area in northeastern France, recognized for its chalky soils and Chardonnay-focused vineyards that contribute fresh, elegant base wines to many Champagne blends.
  • D. Chénas
    Chénas is a French appellation in the Beaujolais wine region known for producing structured, age-worthy red wines primarily from the Gamay grape.
  • E. Sauvy
    Sauvy is a French surname most notably borne by Alfred Sauvy, a prominent demographer, sociologist, and economist.
  • 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_69aed9597d6881909b6ee3b9de859223 completed March 9, 2026, 2:29 p.m.
NER Named-entity recognition batch_69aee79db2e88190b3aa2b8e8d885e19 completed March 9, 2026, 3:30 p.m.
NED1 Entity disambiguation (via context triple) batch_69b4f05c0f908190b5638e75b06dab4d completed March 14, 2026, 5:21 a.m.
NEDg Description generation batch_69b4f173d66881909301bfc45d10b3d1 completed March 14, 2026, 5:26 a.m.
NED2 Entity disambiguation (via description) batch_69b4f1ecdd788190aebea36578923fad completed March 14, 2026, 5:28 a.m.
Created at: March 9, 2026, 3:15 p.m.