Triple

T3173599
Position Surface form Disambiguated ID Type / Status
Subject arrondissement of Palaiseau E66409 entity
Predicate contains P35 FINISHED
Object Courcouronnes
Courcouronnes is a suburban commune in the southern Île-de-France region of France, located in the Essonne department near Paris.
E336078 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: Courcouronnes | Statement: [arrondissement of Palaiseau, contains, Courcouronnes]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Courcouronnes
Context triple: [arrondissement of Palaiseau, contains, Courcouronnes]
  • A. Brienne-le-Château
    Brienne-le-Château is a commune in northeastern France best known as the town where Napoleon Bonaparte attended military school in his youth.
  • B. Orgeval
    Orgeval is a district in the city of Reims, France, known in part for serving as a terminus of the Reims tramway network.
  • C. Chevaleret
    Chevaleret is a Paris Métro station in the 13th arrondissement, located on the elevated section of Line 6 near the Seine.
  • D. Langeac
    Langeac is a small commune in south-central France, situated in the Haute-Loire department within the Auvergne-Rhône-Alpes region.
  • E. La Croix-Valmer
    La Croix-Valmer is a coastal commune on the French Riviera in the Var department of southeastern France, known for its Mediterranean beaches and proximity to Saint-Tropez.
  • 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: Courcouronnes
Triple: [arrondissement of Palaiseau, contains, Courcouronnes]
Generated description
Courcouronnes is a suburban commune in the southern Île-de-France region of France, located in the Essonne department near Paris.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Courcouronnes
Target entity description: Courcouronnes is a suburban commune in the southern Île-de-France region of France, located in the Essonne department near Paris.
  • A. Brienne-le-Château
    Brienne-le-Château is a commune in northeastern France best known as the town where Napoleon Bonaparte attended military school in his youth.
  • B. Orgeval
    Orgeval is a district in the city of Reims, France, known in part for serving as a terminus of the Reims tramway network.
  • C. Chevaleret
    Chevaleret is a Paris Métro station in the 13th arrondissement, located on the elevated section of Line 6 near the Seine.
  • D. Langeac
    Langeac is a small commune in south-central France, situated in the Haute-Loire department within the Auvergne-Rhône-Alpes region.
  • E. La Croix-Valmer
    La Croix-Valmer is a coastal commune on the French Riviera in the Var department of southeastern France, known for its Mediterranean beaches and proximity to Saint-Tropez.
  • 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.