Triple

T12446864
Position Surface form Disambiguated ID Type / Status
Subject Sarstedt E297421 entity
Predicate hasTwinTown P919 FINISHED
Object Aubevoye
Aubevoye is a small commune in the Eure department of northern France, known for its local rural character and community life.
E1001478 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: Aubevoye | Statement: [Sarstedt, hasTwinTown, Aubevoye]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Aubevoye
Context triple: [Sarstedt, hasTwinTown, Aubevoye]
  • A. Venteuil
    Venteuil is a small commune in the Marne department of northeastern France, known historically as the place where physicist Armand Fizeau died.
  • B. Verrières
    Verrières is a small French commune located within the Thiers arrondissement in the Puy-de-Dôme department of central France.
  • C. Boignée
    Boignée is a village that forms one of the municipal sections of the municipality of Sombreffe in the province of Namur, Wallonia, Belgium.
  • D. Ermontoise
    Ermontoise is the French demonym referring to a female inhabitant or native of the town of Ermont in France.
  • E. Noyonnais
    Noyonnais is a historical region in northern France centered around the town of Noyon, known for its medieval heritage and role within the former province of Picardy.
  • 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: Aubevoye
Triple: [Sarstedt, hasTwinTown, Aubevoye]
Generated description
Aubevoye is a small commune in the Eure department of northern France, known for its local rural character and community life.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Aubevoye
Target entity description: Aubevoye is a small commune in the Eure department of northern France, known for its local rural character and community life.
  • A. Venteuil
    Venteuil is a small commune in the Marne department of northeastern France, known historically as the place where physicist Armand Fizeau died.
  • B. Verrières
    Verrières is a small French commune located within the Thiers arrondissement in the Puy-de-Dôme department of central France.
  • C. Boignée
    Boignée is a village that forms one of the municipal sections of the municipality of Sombreffe in the province of Namur, Wallonia, Belgium.
  • D. Ermontoise
    Ermontoise is the French demonym referring to a female inhabitant or native of the town of Ermont in France.
  • E. Noyonnais
    Noyonnais is a historical region in northern France centered around the town of Noyon, known for its medieval heritage and role within the former province of Picardy.
  • 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_69d6ada166c48190b902972cd2408fa3 completed April 8, 2026, 7:33 p.m.
NER Named-entity recognition batch_69d94d90f18c819083a36ff4b9be4a20 completed April 10, 2026, 7:20 p.m.
NED1 Entity disambiguation (via context triple) batch_69f684d254888190a22453aede711491 completed May 2, 2026, 11:12 p.m.
NEDg Description generation batch_69f685dac5cc8190b4bc2d81186c9266 completed May 2, 2026, 11:16 p.m.
NED2 Entity disambiguation (via description) batch_69f6869156048190b548ecd04561deb8 completed May 2, 2026, 11:19 p.m.
Created at: April 8, 2026, 9:56 p.m.