Triple

T9914858
Position Surface form Disambiguated ID Type / Status
Subject canton of Montmorency E185841 entity
Predicate contains P35 FINISHED
Object Margency
Margency is a small suburban commune in the Val-d'Oise department in northern France, located in the Île-de-France region near Paris.
 E829727 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: Margency | Statement: [canton of Montmorency, contains, Margency]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Margency
Context triple: [canton of Montmorency, contains, Margency]
  • A. Marcelle
    Marcelle is a given name, typically a feminine form of Marcel, used in various cultures.
  • B. Blanchette
    Blanchette is a French feminine given name and diminutive form of Blanche, traditionally meaning "white" or "fair."
  • C. Pierrette
    Pierrette is a French feminine given name, traditionally considered the female form of Pierre.
  • D. Margot
    Margot is a feminine given name of French origin, often associated with Margot Frank, the elder sister of diarist Anne Frank.
  • E. Mathilda
    Mathilda is the middle name of Elivera Mathilda Carlson Doud, the wife of former U.S. President Dwight D. Eisenhower.
  • 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: Margency
Triple: [canton of Montmorency, contains, Margency]
Generated description
Margency is a small suburban commune in the Val-d'Oise department in northern France, located in the Île-de-France region near Paris.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Margency
Target entity description: Margency is a small suburban commune in the Val-d'Oise department in northern France, located in the Île-de-France region near Paris.
  • A. Marcelle
    Marcelle is a given name, typically a feminine form of Marcel, used in various cultures.
  • B. Blanchette
    Blanchette is a French feminine given name and diminutive form of Blanche, traditionally meaning "white" or "fair."
  • C. Pierrette
    Pierrette is a French feminine given name, traditionally considered the female form of Pierre.
  • D. Margot
    Margot is a feminine given name of French origin, often associated with Margot Frank, the elder sister of diarist Anne Frank.
  • E. Mathilda
    Mathilda is the middle name of Elivera Mathilda Carlson Doud, the wife of former U.S. President Dwight D. Eisenhower.
  • 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_69ca829b45f481909040f7b99a1976ed completed March 30, 2026, 2:03 p.m.
NER Named-entity recognition batch_69cdb53ba1ac8190ba655133b81596d7 completed April 2, 2026, 12:15 a.m.
NED1 Entity disambiguation (via context triple) batch_69d20dd82edc8190b405a3969864af77 completed April 5, 2026, 7:23 a.m.
NEDg Description generation batch_69d20ed1f69c819099faa881a9a4368d completed April 5, 2026, 7:27 a.m.
NED2 Entity disambiguation (via description) batch_69d212e3b864819092b8464f5a5ab696 completed April 5, 2026, 7:44 a.m.
Created at: March 30, 2026, 8:41 p.m.