Triple

T2343917
Position Surface form Disambiguated ID Type / Status
Subject Eure E45086 entity
Predicate hasTributary P415 FINISHED
Object Vègre
The Vègre is a river in northwestern France that flows through the Sarthe department before joining the Eure’s river system as a tributary.
 E258307 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: Vègre | Statement: [Eure, hasTributary, Vègre]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Vègre
Context triple: [Eure, hasTributary, Vègre]
  • A. Veltro
    Veltro is the nickname of the Macchi C.205, an Italian World War II fighter aircraft renowned for its speed and agility.
  • B. Vimioso
    Vimioso is a municipality in northeastern Portugal known for its strong cultural ties to the Mirandese language and traditional rural heritage.
  • C. Vitlycke
    Vitlycke is a renowned Bronze Age rock carving site in Tanum, Sweden, noted for its extensive petroglyphs and archaeological significance.
  • D. La Venoge
    La Venoge is a river in the canton of Vaud in western Switzerland, known for flowing into Lake Geneva and inspiring a famous Swiss poem of the same name.
  • E. Valleiry
    Valleiry is a small French commune in the Haute-Savoie department of the Auvergne-Rhône-Alpes region in southeastern France, near the Swiss border.
  • 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: Vègre
Triple: [Eure, hasTributary, Vègre]
Generated description
The Vègre is a river in northwestern France that flows through the Sarthe department before joining the Eure’s river system as a tributary.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Vègre
Target entity description: The Vègre is a river in northwestern France that flows through the Sarthe department before joining the Eure’s river system as a tributary.
  • A. Veltro
    Veltro is the nickname of the Macchi C.205, an Italian World War II fighter aircraft renowned for its speed and agility.
  • B. Vimioso
    Vimioso is a municipality in northeastern Portugal known for its strong cultural ties to the Mirandese language and traditional rural heritage.
  • C. Vitlycke
    Vitlycke is a renowned Bronze Age rock carving site in Tanum, Sweden, noted for its extensive petroglyphs and archaeological significance.
  • D. La Venoge
    La Venoge is a river in the canton of Vaud in western Switzerland, known for flowing into Lake Geneva and inspiring a famous Swiss poem of the same name.
  • E. Valleiry
    Valleiry is a small French commune in the Haute-Savoie department of the Auvergne-Rhône-Alpes region in southeastern France, near the Swiss border.
  • 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_69a88917935081909b755dbf38e81024 completed March 4, 2026, 7:33 p.m.
NER Named-entity recognition batch_69abc6afe38c81909deb1de2a1c4eda9 completed March 7, 2026, 6:33 a.m.
NED1 Entity disambiguation (via context triple) batch_69ae96253f0c81908b866c656c3f5bea completed March 9, 2026, 9:43 a.m.
NEDg Description generation batch_69ae96fc0b508190b1da6aa41cddc488 completed March 9, 2026, 9:46 a.m.
NED2 Entity disambiguation (via description) batch_69ae977aac9c8190b5fecd5fea8893fd completed March 9, 2026, 9:48 a.m.
Created at: March 4, 2026, 7:52 p.m.