Triple

T382807
Position Surface form Disambiguated ID Type / Status
Subject Le Bourget Field E8716 entity
Predicate locatedNear P294 FINISHED
Object Dugny
Dugny is a commune in the northeastern suburbs of Paris, France, situated near Le Bourget Airport and known for its proximity to major aviation and aerospace facilities.
 E48091 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: Dugny | Statement: [Le Bourget Field, locatedNear, Dugny]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Dugny
Context triple: [Le Bourget Field, locatedNear, Dugny]
  • A. Camille Lefèvre
    Camille Lefèvre was a Swiss architect best known for co-designing the Palais des Nations, the former League of Nations headquarters in Geneva.
  • B. Marguerite De La Motte
    Marguerite De La Motte was an American silent film actress best known for her leading roles in early 1920s adventure and drama films.
  • C. Pierrette
    Pierrette is a French feminine given name, traditionally considered the female form of Pierre.
  • D. Pierre
    Pierre is a masculine given name of French origin that has been borne by numerous notable figures in history, arts, and science.
  • E. Eugène
    Eugène is a masculine given name of French origin, derived from the Greek "Eugenios," meaning "well-born" or "noble."
  • 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: Dugny
Triple: [Le Bourget Field, locatedNear, Dugny]
Generated description
Dugny is a commune in the northeastern suburbs of Paris, France, situated near Le Bourget Airport and known for its proximity to major aviation and aerospace facilities.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Dugny
Target entity description: Dugny is a commune in the northeastern suburbs of Paris, France, situated near Le Bourget Airport and known for its proximity to major aviation and aerospace facilities.
  • A. Camille Lefèvre
    Camille Lefèvre was a Swiss architect best known for co-designing the Palais des Nations, the former League of Nations headquarters in Geneva.
  • B. Marguerite De La Motte
    Marguerite De La Motte was an American silent film actress best known for her leading roles in early 1920s adventure and drama films.
  • C. Pierrette
    Pierrette is a French feminine given name, traditionally considered the female form of Pierre.
  • D. Pierre
    Pierre is a masculine given name of French origin that has been borne by numerous notable figures in history, arts, and science.
  • E. Eugène
    Eugène is a masculine given name of French origin, derived from the Greek "Eugenios," meaning "well-born" or "noble."
  • 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_69a2e7f47dd08190a4e294ccbbe46cd4 completed Feb. 28, 2026, 1:04 p.m.
NER Named-entity recognition batch_69a2ec40ff8c81909306eb2dfe1512af completed Feb. 28, 2026, 1:23 p.m.
NED1 Entity disambiguation (via context triple) batch_69a3fb0100fc8190819b977bb7a98d7f completed March 1, 2026, 8:38 a.m.
NEDg Description generation batch_69a3fb6569e881909d52f07a4207ed24 completed March 1, 2026, 8:40 a.m.
NED2 Entity disambiguation (via description) batch_69a3fbdfdfcc81909ae03736623594d5 completed March 1, 2026, 8:42 a.m.
Created at: Feb. 28, 2026, 1:08 p.m.