Triple

T3173597
Position Surface form Disambiguated ID Type / Status
Subject arrondissement of Palaiseau E66409 entity
Predicate contains P35 FINISHED
Object Ris-Orangis
Ris-Orangis is a suburban commune in the southern outskirts of Paris, located in the Essonne department of the Île-de-France region in northern France.
 E336077 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: Ris-Orangis | Statement: [arrondissement of Palaiseau, contains, Ris-Orangis]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Ris-Orangis
Context triple: [arrondissement of Palaiseau, contains, Ris-Orangis]
  • A. Sauvy
    Sauvy is a French surname most notably borne by Alfred Sauvy, a prominent demographer, sociologist, and economist.
  • B. Valleiry
    Valleiry is a small French commune in the Haute-Savoie department of the Auvergne-Rhône-Alpes region in southeastern France, near the Swiss border.
  • C. Thieux
    Thieux is a small French commune located in the Seine-et-Marne department in the Île-de-France region in north-central France.
  • D. Brionnais
    Brionnais is a historic rural region in eastern France known for its Romanesque churches, traditional stone villages, and Charolais cattle farming.
  • E. Sauvestre
    Sauvestre is a French surname most notably associated with architect Stephen Sauvestre, who contributed to the design of the Eiffel Tower.
  • 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: Ris-Orangis
Triple: [arrondissement of Palaiseau, contains, Ris-Orangis]
Generated description
Ris-Orangis is a suburban commune in the southern outskirts of Paris, located in the Essonne department of the Île-de-France region in northern France.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Ris-Orangis
Target entity description: Ris-Orangis is a suburban commune in the southern outskirts of Paris, located in the Essonne department of the Île-de-France region in northern France.
  • A. Sauvy
    Sauvy is a French surname most notably borne by Alfred Sauvy, a prominent demographer, sociologist, and economist.
  • B. Valleiry
    Valleiry is a small French commune in the Haute-Savoie department of the Auvergne-Rhône-Alpes region in southeastern France, near the Swiss border.
  • C. Thieux
    Thieux is a small French commune located in the Seine-et-Marne department in the Île-de-France region in north-central France.
  • D. Brionnais
    Brionnais is a historic rural region in eastern France known for its Romanesque churches, traditional stone villages, and Charolais cattle farming.
  • E. Sauvestre
    Sauvestre is a French surname most notably associated with architect Stephen Sauvestre, who contributed to the design of the Eiffel Tower.
  • 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_69ad8586a34c8190944c63ec11a8de1a completed March 8, 2026, 2:19 p.m.
NER Named-entity recognition batch_69ada66facf881908b9ec687d68ce91b completed March 8, 2026, 4:40 p.m.
NED1 Entity disambiguation (via context triple) batch_69b24b66b3e081908e8ea11d9b36e50a completed March 12, 2026, 5:13 a.m.
NEDg Description generation batch_69b24f6f5ee08190b42e2ae0610c34d3 completed March 12, 2026, 5:30 a.m.
NED2 Entity disambiguation (via description) batch_69b24ff7eff88190973925ae3ef804c7 completed March 12, 2026, 5:32 a.m.
Created at: March 8, 2026, 3:06 p.m.