Triple

T8399623
Position Surface form Disambiguated ID Type / Status
Subject canton of Breteuil E198138 entity
Predicate contains P35 FINISHED
Object Droisy
Droisy is a small commune in northern France located within the administrative boundaries of the canton of Breteuil.
 E756548 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: Droisy | Statement: [canton of Breteuil, contains, Droisy]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Droisy
Context triple: [canton of Breteuil, contains, Droisy]
  • A. Verrières
    Verrières is a small French commune located within the Thiers arrondissement in the Puy-de-Dôme department of central France.
  • B. Brière
    Brière is a French-language surname most prominently associated with former NHL player and current hockey executive Daniel Brière.
  • C. Grigny
    Grigny is a suburban commune in the southern outskirts of Paris, France, known for its large housing estates and diverse population.
  • D. Gonesse
    Gonesse is a commune in the northeastern suburbs of Paris, France, known historically as a rural town and now as part of the greater Paris metropolitan area.
  • E. Fallières
    Fallières is a French surname most notably borne by Armand Fallières, who served as President of France in the early 20th century.
  • 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: Droisy
Triple: [canton of Breteuil, contains, Droisy]
Generated description
Droisy is a small commune in northern France located within the administrative boundaries of the canton of Breteuil.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Droisy
Target entity description: Droisy is a small commune in northern France located within the administrative boundaries of the canton of Breteuil.
  • A. Verrières
    Verrières is a small French commune located within the Thiers arrondissement in the Puy-de-Dôme department of central France.
  • B. Brière
    Brière is a French-language surname most prominently associated with former NHL player and current hockey executive Daniel Brière.
  • C. Grigny
    Grigny is a suburban commune in the southern outskirts of Paris, France, known for its large housing estates and diverse population.
  • D. Gonesse
    Gonesse is a commune in the northeastern suburbs of Paris, France, known historically as a rural town and now as part of the greater Paris metropolitan area.
  • E. Fallières
    Fallières is a French surname most notably borne by Armand Fallières, who served as President of France in the early 20th century.
  • 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_69ca82f816bc8190ab321c07d72208c1 completed March 30, 2026, 2:04 p.m.
NER Named-entity recognition batch_69cb824bfcbc8190b26bfcb5f8c4777c completed March 31, 2026, 8:14 a.m.
NED1 Entity disambiguation (via context triple) batch_69cf512d294c8190bed7e37991d237c1 completed April 3, 2026, 5:33 a.m.
NEDg Description generation batch_69cf540bee8081908f9c176a1971742f completed April 3, 2026, 5:45 a.m.
NED2 Entity disambiguation (via description) batch_69cf54a056408190bd536f79e3ec33be completed April 3, 2026, 5:48 a.m.
Created at: March 30, 2026, 6:04 p.m.