Triple

T1316789
Position Surface form Disambiguated ID Type / Status
Subject Ouest Department E28121 entity
Predicate containsCity P294 FINISHED
Object Cornillon
Cornillon is a commune-level town located in Haiti’s Ouest Department.
 E167233 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: Cornillon | Statement: [Ouest Department, containsCity, Cornillon]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Cornillon
Context triple: [Ouest Department, containsCity, Cornillon]
  • A. Boncourt
    Boncourt is a locality known for its historic Château de Boncourt, reflecting its cultural and architectural heritage.
  • B. Choully
    Choully is a small wine-producing village in the commune of Satigny in the canton of Geneva, Switzerland.
  • C. Maurepas
    Maurepas is a commune in the Yvelines department in the Île-de-France region of north-central France, known as a residential suburb southwest of Paris.
  • D. Marmande
    Marmande is a town in southwestern France known for its agricultural production, particularly tomatoes, and its location in the Garonne River valley.
  • E. Montauban
    Montauban is a historic city in southern France known for its red-brick architecture and role as the capital of the Tarn-et-Garonne department.
  • 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: Cornillon
Triple: [Ouest Department, containsCity, Cornillon]
Generated description
Cornillon is a commune-level town located in Haiti’s Ouest Department.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Cornillon
Target entity description: Cornillon is a commune-level town located in Haiti’s Ouest Department.
  • A. Boncourt
    Boncourt is a locality known for its historic Château de Boncourt, reflecting its cultural and architectural heritage.
  • B. Choully
    Choully is a small wine-producing village in the commune of Satigny in the canton of Geneva, Switzerland.
  • C. Maurepas
    Maurepas is a commune in the Yvelines department in the Île-de-France region of north-central France, known as a residential suburb southwest of Paris.
  • D. Marmande
    Marmande is a town in southwestern France known for its agricultural production, particularly tomatoes, and its location in the Garonne River valley.
  • E. Montauban
    Montauban is a historic city in southern France known for its red-brick architecture and role as the capital of the Tarn-et-Garonne department.
  • 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_69a498532c3481909223b74af2e578df completed March 1, 2026, 7:49 p.m.
NER Named-entity recognition batch_69a4c175079481909077cf11ed72d6fa completed March 1, 2026, 10:45 p.m.
NED1 Entity disambiguation (via context triple) batch_69ad0e62007081908dc993492e23dda5 completed March 8, 2026, 5:51 a.m.
NEDg Description generation batch_69ad0f6838bc8190b0a77eda44f1949e completed March 8, 2026, 5:55 a.m.
NED2 Entity disambiguation (via description) batch_69ad0fbdd20081909ea89e527a4e342e completed March 8, 2026, 5:57 a.m.
Created at: March 1, 2026, 7:55 p.m.