Triple

T3173615
Position Surface form Disambiguated ID Type / Status
Subject arrondissement of Palaiseau E66409 entity
Predicate contains P35 FINISHED
Object Breuillet
Breuillet is a commune in the Essonne department in the Île-de-France region of northern France.
E340928 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: Breuillet | Statement: [arrondissement of Palaiseau, contains, Breuillet]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Breuillet
Context triple: [arrondissement of Palaiseau, contains, Breuillet]
  • A. Pélissier
    Pélissier is a French surname borne by various notable figures, including military leaders, athletes, and artists.
  • B. Sauvy
    Sauvy is a French surname most notably borne by Alfred Sauvy, a prominent demographer, sociologist, and economist.
  • C. Maurepas
    Maurepas is a commune in the Yvelines department in the Île-de-France region of north-central France, known as a residential suburb southwest of Paris.
  • D. Lebrun
    Lebrun is a French surname borne by various notable figures in politics, arts, and other fields.
  • E. Boissière
    Boissière is a Paris Métro station on the city’s Right Bank, located in the 16th arrondissement near the Trocadéro area.
  • 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: Breuillet
Triple: [arrondissement of Palaiseau, contains, Breuillet]
Generated description
Breuillet is a commune in the Essonne department in the Île-de-France region of northern France.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Breuillet
Target entity description: Breuillet is a commune in the Essonne department in the Île-de-France region of northern France.
  • A. Pélissier
    Pélissier is a French surname borne by various notable figures, including military leaders, athletes, and artists.
  • B. Sauvy
    Sauvy is a French surname most notably borne by Alfred Sauvy, a prominent demographer, sociologist, and economist.
  • C. Maurepas
    Maurepas is a commune in the Yvelines department in the Île-de-France region of north-central France, known as a residential suburb southwest of Paris.
  • D. Lebrun
    Lebrun is a French surname borne by various notable figures in politics, arts, and other fields.
  • E. Boissière
    Boissière is a Paris Métro station on the city’s Right Bank, located in the 16th arrondissement near the Trocadéro area.
  • 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_69b276f529008190bc22ca454bd5d76b completed March 12, 2026, 8:19 a.m.
NEDg Description generation batch_69b2786b7d388190ad0d97bd41a60543 completed March 12, 2026, 8:25 a.m.
NED2 Entity disambiguation (via description) batch_69b27c45f6b08190966fbc3fd28664ec completed March 12, 2026, 8:41 a.m.
Created at: March 8, 2026, 3:06 p.m.