Triple

T1695249
Position Surface form Disambiguated ID Type / Status
Subject Cher E36641 entity
Predicate hasRiver P165 FINISHED
Object Sauldre
Sauldre is a river in central France that flows through the Cher department and is a tributary of the larger Sauldre river system.
 E221558 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: Sauldre | Statement: [Cher, hasRiver, Sauldre]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Sauldre
Context triple: [Cher, hasRiver, Sauldre]
  • A. Anières
    Anières is a small lakeside municipality in western Switzerland, situated on the shores of Lake Geneva near the city of Geneva.
  • B. Sercquiais
    Sercquiais is a Norman dialect of the French language traditionally spoken on the Channel Island of Sark.
  • C. Rethondes
    Rethondes is a commune in northern France best known as the site where the World War I armistice was signed in 1918.
  • D. Sursilvan
    Sursilvan is a major variety of the Romansh language spoken primarily in the Surselva region of the canton of Graubünden in Switzerland.
  • E. Vich
    Vich is a small municipality in the canton of Vaud in western Switzerland, located in the district of Nyon near Lake Geneva.
  • 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: Sauldre
Triple: [Cher, hasRiver, Sauldre]
Generated description
Sauldre is a river in central France that flows through the Cher department and is a tributary of the larger Sauldre river system.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Sauldre
Target entity description: Sauldre is a river in central France that flows through the Cher department and is a tributary of the larger Sauldre river system.
  • A. Anières
    Anières is a small lakeside municipality in western Switzerland, situated on the shores of Lake Geneva near the city of Geneva.
  • B. Sercquiais
    Sercquiais is a Norman dialect of the French language traditionally spoken on the Channel Island of Sark.
  • C. Rethondes
    Rethondes is a commune in northern France best known as the site where the World War I armistice was signed in 1918.
  • D. Sursilvan
    Sursilvan is a major variety of the Romansh language spoken primarily in the Surselva region of the canton of Graubünden in Switzerland.
  • E. Vich
    Vich is a small municipality in the canton of Vaud in western Switzerland, located in the district of Nyon near Lake Geneva.
  • 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_69a886163dec8190859c514232a37a05 completed March 4, 2026, 7:20 p.m.
NER Named-entity recognition batch_69aa62b3b8908190afc3f9e4a384684f completed March 6, 2026, 5:14 a.m.
NED1 Entity disambiguation (via context triple) batch_69ae0300207481908c8b91b83b2575bc completed March 8, 2026, 11:15 p.m.
NEDg Description generation batch_69ae039a7c948190b8b4b4c2045007d3 completed March 8, 2026, 11:17 p.m.
NED2 Entity disambiguation (via description) batch_69ae04253a80819092c112faddec1de1 completed March 8, 2026, 11:20 p.m.
Created at: March 4, 2026, 7:30 p.m.