Triple

T11457603
Position Surface form Disambiguated ID Type / Status
Subject Doux River E271569 entity
Predicate hasNameInLanguage P15 FINISHED
Object Doux
Doux is the French name of the Doux River, a watercourse in southeastern France.
E927743 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: Doux | Statement: [Doux River, hasNameInLanguage, Doux]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Doux
Context triple: [Doux River, hasNameInLanguage, Doux]
  • A. Doux
    Doux is the sweetest style of Champagne, characterized by a high sugar content that gives it a rich, dessert-like taste.
  • B. Dulcedo
    Dulcedo is a Latin term meaning "sweetness" or "delight," often used in Christian liturgical and devotional texts to express spiritual consolation and joy.
  • C. Dulcissime
    "Dulcissime" is the climactic, high-flying soprano solo that concludes the "Cour d'amours" section of Carl Orff’s cantata Carmina Burana.
  • D. Dolce
    Dolce is the pet dog of Mavis Gary, the main character in the film "Young Adult."
  • E. Süßen
    Süßen is a small town in the German state of Baden-Württemberg, situated in the Fils Valley and known for its local industry and residential character.
  • 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: Doux
Triple: [Doux River, hasNameInLanguage, Doux]
Generated description
Doux is the French name of the Doux River, a watercourse in southeastern France.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Doux
Target entity description: Doux is the French name of the Doux River, a watercourse in southeastern France.
  • A. Doux
    Doux is the sweetest style of Champagne, characterized by a high sugar content that gives it a rich, dessert-like taste.
  • B. Dulcedo
    Dulcedo is a Latin term meaning "sweetness" or "delight," often used in Christian liturgical and devotional texts to express spiritual consolation and joy.
  • C. Dulcissime
    "Dulcissime" is the climactic, high-flying soprano solo that concludes the "Cour d'amours" section of Carl Orff’s cantata Carmina Burana.
  • D. Dolce
    Dolce is the pet dog of Mavis Gary, the main character in the film "Young Adult."
  • E. Süßen
    Süßen is a small town in the German state of Baden-Württemberg, situated in the Fils Valley and known for its local industry and residential character.
  • 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_69d6aadff8888190a13f253f0d460874 completed April 8, 2026, 7:22 p.m.
NER Named-entity recognition batch_69d81c71b1208190be1d5623d18e0222 completed April 9, 2026, 9:38 p.m.
NED1 Entity disambiguation (via context triple) batch_69e5e903781881908e96c66ecfca2911 completed April 20, 2026, 8:51 a.m.
NEDg Description generation batch_69e5f1593c2c8190885f80ad5eeba3ec completed April 20, 2026, 9:26 a.m.
NED2 Entity disambiguation (via description) batch_69e5f87bbd988190ac388a3c34b2e95a completed April 20, 2026, 9:57 a.m.
Created at: April 8, 2026, 9:35 p.m.