Triple

T16776937
Position Surface form Disambiguated ID Type / Status
Subject Châteauguay E407748 entity
Predicate hasNeighbouringCity P3883 FINISHED
Object Léry
Léry is a small suburban city in southwestern Quebec, Canada, located along the south shore of the St. Lawrence River.
 E1233470 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: Léry | Statement: [Châteauguay, hasNeighbouringCity, Léry]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Léry
Context triple: [Châteauguay, hasNeighbouringCity, Léry]
  • A. Tjibaou
    Tjibaou is the surname of Jean-Marie Tjibaou, a prominent Kanak independence leader and cultural figure from New Caledonia.
  • B. Serrault
    Serrault is a French surname most famously borne by Michel Serrault, the acclaimed actor known for his work in film, theater, and television.
  • C. Caquot
    Caquot is a French surname most notably associated with Albert Caquot, a prominent 20th-century engineer and inventor.
  • D. Gama
    Gama is a small rural municipality in the Cundinamarca Department of Colombia, known for its Andean landscapes and agricultural economy.
  • E. Gama
    Gama is a surname most famously associated with the Portuguese explorer Vasco da Gama, who pioneered the sea route from Europe to India.
  • 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: Léry
Triple: [Châteauguay, hasNeighbouringCity, Léry]
Generated description
Léry is a small suburban city in southwestern Quebec, Canada, located along the south shore of the St. Lawrence River.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Léry
Target entity description: Léry is a small suburban city in southwestern Quebec, Canada, located along the south shore of the St. Lawrence River.
  • A. Tjibaou
    Tjibaou is the surname of Jean-Marie Tjibaou, a prominent Kanak independence leader and cultural figure from New Caledonia.
  • B. Serrault
    Serrault is a French surname most famously borne by Michel Serrault, the acclaimed actor known for his work in film, theater, and television.
  • C. Caquot
    Caquot is a French surname most notably associated with Albert Caquot, a prominent 20th-century engineer and inventor.
  • D. Gama
    Gama is a surname most famously associated with the Portuguese explorer Vasco da Gama, who pioneered the sea route from Europe to India.
  • E. Gama
    Gama is a small rural municipality in the Cundinamarca Department of Colombia, known for its Andean landscapes and agricultural economy.
  • 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_69d8839270588190886720d9519bbf8f completed April 10, 2026, 4:58 a.m.
NER Named-entity recognition batch_69e3b03a646c8190b3944c9f0c25af27 completed April 18, 2026, 4:24 p.m.
NED1 Entity disambiguation (via context triple) batch_6a00aafe1f8081909b9540aca6e7b9b7 completed May 10, 2026, 3:57 p.m.
NEDg Description generation batch_6a00ac0e10648190803bf962a4677104 completed May 10, 2026, 4:02 p.m.
NED2 Entity disambiguation (via description) batch_6a00acc3a9dc819087e07e539760bf34 completed May 10, 2026, 4:05 p.m.
Created at: April 10, 2026, 5:22 a.m.