Triple

T2042697
Position Surface form Disambiguated ID Type / Status
Subject Yvelines E44779 entity
Predicate borders P224 FINISHED
Object Eure-et-Loir
Eure-et-Loir is a department in north-central France, located in the Centre-Val de Loire region and known for including the historic city of Chartres.
 E238535 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: Eure-et-Loir | Statement: [Yvelines, borders, Eure-et-Loir]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Eure-et-Loir
Context triple: [Yvelines, borders, Eure-et-Loir]
  • A. Loir-et-Cher
    Loir-et-Cher is a department in central France known for its historic châteaux, including parts of the Loire Valley UNESCO World Heritage site.
  • B. Essonne
    Essonne is a department in northern France that forms part of the Paris metropolitan region and includes a mix of suburban communities, research centers, and rural areas.
  • C. Sarthe
    Sarthe is a river in western France that flows through the regions of Normandy and Pays de la Loire before joining other waterways to form the Loire basin.
  • D. Sarthe
    Sarthe is a department in western France known for its capital Le Mans and the famous 24 Hours of Le Mans endurance race.
  • E. Seine-et-Oise
    Seine-et-Oise was a former department of France surrounding Paris, abolished in 1968 and divided into several new departments including Yvelines.
  • 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: Eure-et-Loir
Triple: [Yvelines, borders, Eure-et-Loir]
Generated description
Eure-et-Loir is a department in north-central France, located in the Centre-Val de Loire region and known for including the historic city of Chartres.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Eure-et-Loir
Target entity description: Eure-et-Loir is a department in north-central France, located in the Centre-Val de Loire region and known for including the historic city of Chartres.
  • A. Loir-et-Cher
    Loir-et-Cher is a department in central France known for its historic châteaux, including parts of the Loire Valley UNESCO World Heritage site.
  • B. Essonne
    Essonne is a department in northern France that forms part of the Paris metropolitan region and includes a mix of suburban communities, research centers, and rural areas.
  • C. Sarthe
    Sarthe is a river in western France that flows through the regions of Normandy and Pays de la Loire before joining other waterways to form the Loire basin.
  • D. Sarthe
    Sarthe is a department in western France known for its capital Le Mans and the famous 24 Hours of Le Mans endurance race.
  • E. Seine-et-Oise
    Seine-et-Oise was a former department of France surrounding Paris, abolished in 1968 and divided into several new departments including Yvelines.
  • 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_69a889159ec481908f9e4472d9f480c7 completed March 4, 2026, 7:33 p.m.
NER Named-entity recognition batch_69abb95587348190bb5719faeaf0aa5d completed March 7, 2026, 5:36 a.m.
NED1 Entity disambiguation (via context triple) batch_69ae58bffa30819099409ff59f844a9c completed March 9, 2026, 5:21 a.m.
NEDg Description generation batch_69ae59892b848190a9cc8b086647ff14 completed March 9, 2026, 5:24 a.m.
NED2 Entity disambiguation (via description) batch_69ae59ff1234819083bbfdce270cb584 completed March 9, 2026, 5:26 a.m.
Created at: March 4, 2026, 7:39 p.m.