Triple

T1651563
Position Surface form Disambiguated ID Type / Status
Subject Soisy-sous-Montmorency E35703 entity
Predicate locatedNear P294 FINISHED
Object Montmorency
Montmorency is a commune in the northern suburbs of Paris, France, known for its historic town center and surrounding Val-d'Oise area.
 E214248 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: Montmorency | Statement: [Soisy-sous-Montmorency, locatedNear, Montmorency]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Montmorency
Context triple: [Soisy-sous-Montmorency, locatedNear, Montmorency]
  • A. Boncourt
    Boncourt is a locality known for its historic Château de Boncourt, reflecting its cultural and architectural heritage.
  • B. Éveux
    Éveux is a small commune in eastern France’s Rhône department, known for hosting Le Corbusier’s modernist monastery, the Couvent Sainte-Marie de La Tourette.
  • C. Moulinois
    Moulinois is the French term for an inhabitant or native of the town of Moulins in central France.
  • D. 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.
  • E. Petitpierre
    Petitpierre is a historical publishing house known for issuing scientific works, including influential 19th-century studies on fossil fishes.
  • 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: Montmorency
Triple: [Soisy-sous-Montmorency, locatedNear, Montmorency]
Generated description
Montmorency is a commune in the northern suburbs of Paris, France, known for its historic town center and surrounding Val-d'Oise area.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Montmorency
Target entity description: Montmorency is a commune in the northern suburbs of Paris, France, known for its historic town center and surrounding Val-d'Oise area.
  • A. Boncourt
    Boncourt is a locality known for its historic Château de Boncourt, reflecting its cultural and architectural heritage.
  • B. Éveux
    Éveux is a small commune in eastern France’s Rhône department, known for hosting Le Corbusier’s modernist monastery, the Couvent Sainte-Marie de La Tourette.
  • C. Moulinois
    Moulinois is the French term for an inhabitant or native of the town of Moulins in central France.
  • D. 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.
  • E. Petitpierre
    Petitpierre is a historical publishing house known for issuing scientific works, including influential 19th-century studies on fossil fishes.
  • 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_69a8860568888190a32cd9f70acbba42 completed March 4, 2026, 7:20 p.m.
NER Named-entity recognition batch_69a90a67c0308190a502fd9c6c0769bc completed March 5, 2026, 4:45 a.m.
NED1 Entity disambiguation (via context triple) batch_69adeac40c608190800da8b029ef065a completed March 8, 2026, 9:31 p.m.
NEDg Description generation batch_69adeb9dccf48190800ddd282331c4b4 completed March 8, 2026, 9:35 p.m.
NED2 Entity disambiguation (via description) batch_69adf023e39c8190a2651b6c1e59a2ee completed March 8, 2026, 9:54 p.m.
Created at: March 4, 2026, 7:29 p.m.