Triple

T18612653
Position Surface form Disambiguated ID Type / Status
Subject Bezons E454934 entity
Predicate demonym P191 FINISHED
Object Bezonais
Bezonais is the term used to refer to inhabitants of the French commune of Bezons, located in the Île-de-France region near Paris.
E1333999 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: Bezonais | Statement: [Bezons, demonym, Bezonais]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Bezonais
Context triple: [Bezons, demonym, Bezonais]
  • A. Beuvron
    Beuvron is a small river in central France that serves as a tributary of the Loire.
  • B. Boulzane
    Boulzane is a river in southern France that serves as a tributary of the Agly.
  • C. Montbazon
    Montbazon is a small commune in central France’s Indre-et-Loire department, known for its historic fortress and picturesque setting along the Indre River.
  • D. Beauharnois
    Beauharnois is a town in southwestern Quebec, Canada, known for its location along the Saint Lawrence River and the large Beauharnois hydroelectric generating station.
  • E. Ermontoise
    Ermontoise is the French demonym referring to a female inhabitant or native of the town of Ermont in France.
  • 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: Bezonais
Triple: [Bezons, demonym, Bezonais]
Generated description
Bezonais is the term used to refer to inhabitants of the French commune of Bezons, located in the Île-de-France region near Paris.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Bezonais
Target entity description: Bezonais is the term used to refer to inhabitants of the French commune of Bezons, located in the Île-de-France region near Paris.
  • A. Beuvron
    Beuvron is a small river in central France that serves as a tributary of the Loire.
  • B. Boulzane
    Boulzane is a river in southern France that serves as a tributary of the Agly.
  • C. Montbazon
    Montbazon is a small commune in central France’s Indre-et-Loire department, known for its historic fortress and picturesque setting along the Indre River.
  • D. Beauharnois
    Beauharnois is a town in southwestern Quebec, Canada, known for its location along the Saint Lawrence River and the large Beauharnois hydroelectric generating station.
  • E. Ermontoise
    Ermontoise is the French demonym referring to a female inhabitant or native of the town of Ermont in France.
  • 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_69d8d38bbe7c8190bdec3138e7d413c9 completed April 10, 2026, 10:40 a.m.
NER Named-entity recognition batch_69e54d030d488190a992d10d3d28b4ad completed April 19, 2026, 9:45 p.m.
NED1 Entity disambiguation (via context triple) batch_6a05038c4d408190acb54ceaeaf470c5 completed May 13, 2026, 11:04 p.m.
NEDg Description generation batch_6a05065fcdd8819083644c9bceb556c9 completed May 13, 2026, 11:16 p.m.
NED2 Entity disambiguation (via description) batch_6a0506f2ff9c81909995a299641c6c37 completed May 13, 2026, 11:19 p.m.
Created at: April 10, 2026, 11:45 a.m.