Triple

T12592286
Position Surface form Disambiguated ID Type / Status
Subject arrondissement of Saint-Germain-en-Laye E300634 entity
Predicate contains P35 FINISHED
Object Bailly
Bailly is a small commune in the Yvelines department of north-central France, situated in the western suburbs of Paris.
 E993862 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: Bailly | Statement: [arrondissement of Saint-Germain-en-Laye, contains, Bailly]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Bailly
Context triple: [arrondissement of Saint-Germain-en-Laye, contains, Bailly]
  • A. Antoine-Nicolas Bailly
    Antoine-Nicolas Bailly was a 19th-century French architect known for designing notable public structures, including major sporting venues in Paris.
  • B. Le Fayet
    Le Fayet is a village in the French Alps that serves as a gateway and lower terminus for the historic Tramway du Mont-Blanc mountain railway.
  • C. Le Joly
    Le Joly was a French ship associated with the 17th-century explorer René-Robert Cavelier, Sieur de La Salle, used during his expeditions in North America.
  • D. Barthélemy
    Barthélemy is the given name of Barthélemy Catherine Joubert, a French general who served during the Revolutionary Wars.
  • E. Gilles-Barnabé
    Gilles-Barnabé is the given name of Gilles-Barnabé Guimard, an individual identifiable primarily through this personal name.
  • 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: Bailly
Triple: [arrondissement of Saint-Germain-en-Laye, contains, Bailly]
Generated description
Bailly is a small commune in the Yvelines department of north-central France, situated in the western suburbs of Paris.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Bailly
Target entity description: Bailly is a small commune in the Yvelines department of north-central France, situated in the western suburbs of Paris.
  • A. Antoine-Nicolas Bailly
    Antoine-Nicolas Bailly was a 19th-century French architect known for designing notable public structures, including major sporting venues in Paris.
  • B. Le Fayet
    Le Fayet is a village in the French Alps that serves as a gateway and lower terminus for the historic Tramway du Mont-Blanc mountain railway.
  • C. Le Joly
    Le Joly was a French ship associated with the 17th-century explorer René-Robert Cavelier, Sieur de La Salle, used during his expeditions in North America.
  • D. Barthélemy
    Barthélemy is the given name of Barthélemy Catherine Joubert, a French general who served during the Revolutionary Wars.
  • E. Gilles-Barnabé
    Gilles-Barnabé is the given name of Gilles-Barnabé Guimard, an individual identifiable primarily through this personal name.
  • 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_69d7bde87b648190bcd0266e9efde098 completed April 9, 2026, 2:55 p.m.
NER Named-entity recognition batch_69d954cc6d3c81908fbb22601c46f3f7 completed April 10, 2026, 7:51 p.m.
NED1 Entity disambiguation (via context triple) batch_69f65ec2dac88190bf31bb00f93feb30 completed May 2, 2026, 8:29 p.m.
NEDg Description generation batch_69f66308087c81908ab5b5795f255e37 completed May 2, 2026, 8:48 p.m.
NED2 Entity disambiguation (via description) batch_69f663fe2fac8190bb70c8f1b919d657 completed May 2, 2026, 8:52 p.m.
Created at: April 9, 2026, 5:07 p.m.