Triple

T9342794
Position Surface form Disambiguated ID Type / Status
Subject Créteil E224802 entity
Predicate demonym P191 FINISHED
Object Cristolienne
Cristolienne is the French term for a female inhabitant or native of the city of Créteil, located in the southeastern suburbs of Paris.
 E792836 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: Cristolienne | Statement: [Créteil, demonym, Cristolienne]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Cristolienne
Context triple: [Créteil, demonym, Cristolienne]
  • A. Christianne
    Christianne is a feminine given name of Latin origin, commonly used in German- and English-speaking countries.
  • B. Francene
    Francene is a feminine given name, typically considered a variant of Francine and often associated with French origins meaning "from France" or "Frenchwoman."
  • C. Célestine
    Célestine is a French feminine given name of Latin origin, derived from "caelestis," meaning "heavenly" or "celestial."
  • D. Christiana
    Christiana is a personal name used as a given name, notably borne by individuals such as Christiana Wyly.
  • E. Margeride
    Margeride is a mountainous and sparsely populated region in south-central France known for its granite plateaus, forests, and traditional rural landscapes.
  • 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: Cristolienne
Triple: [Créteil, demonym, Cristolienne]
Generated description
Cristolienne is the French term for a female inhabitant or native of the city of Créteil, located in the southeastern suburbs of Paris.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Cristolienne
Target entity description: Cristolienne is the French term for a female inhabitant or native of the city of Créteil, located in the southeastern suburbs of Paris.
  • A. Christianne
    Christianne is a feminine given name of Latin origin, commonly used in German- and English-speaking countries.
  • B. Francene
    Francene is a feminine given name, typically considered a variant of Francine and often associated with French origins meaning "from France" or "Frenchwoman."
  • C. Célestine
    Célestine is a French feminine given name of Latin origin, derived from "caelestis," meaning "heavenly" or "celestial."
  • D. Christiana
    Christiana is a personal name used as a given name, notably borne by individuals such as Christiana Wyly.
  • E. Margeride
    Margeride is a mountainous and sparsely populated region in south-central France known for its granite plateaus, forests, and traditional rural landscapes.
  • 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_69ca842993248190a79ab06968994b86 completed March 30, 2026, 2:09 p.m.
NER Named-entity recognition batch_69cd4bb11cd08190b159a6066dd0ebf1 completed April 1, 2026, 4:45 p.m.
NED1 Entity disambiguation (via context triple) batch_69d0e4043e288190b05511d537b1614d completed April 4, 2026, 10:12 a.m.
NEDg Description generation batch_69d0e573af788190be4baaa3afb87ca2 completed April 4, 2026, 10:18 a.m.
NED2 Entity disambiguation (via description) batch_69d0e607944c81909a421828595cd793 completed April 4, 2026, 10:20 a.m.
Created at: March 30, 2026, 7:40 p.m.