Triple

T2032355
Position Surface form Disambiguated ID Type / Status
Subject Yonne E44545 entity
Predicate hasLeftTributary P415 FINISHED
Object Serein
Serein is a river in central France that flows through the Burgundy region before joining the Yonne River.
E225982 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: Serein | Statement: [Yonne, hasLeftTributary, Serein]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Serein
Context triple: [Yonne, hasLeftTributary, Serein]
  • A. Everina
    Everina Wollstonecraft was an 18th-century English governess and writer, best known as the younger sister of feminist philosopher Mary Wollstonecraft.
  • B. Corinna
    Corinna was an ancient Greek lyric poet from Boeotia, renowned for her choral poetry composed in the Aeolic dialect.
  • C. Charis
    Charis is one of the three central women in Margaret Atwood’s novel "The Robber Bride," known for her gentle, spiritual nature and complex personal history shaped by trauma and reinvention.
  • D. Channah
    Channah is a given name, often considered a variant of the Hebrew name Hannah, traditionally associated with grace or favor.
  • E. Kirsha
    Kirsha is a central character in Naguib Mahfouz’s novel "Midaq Alley," known as the café owner whose personal life and hidden desires reflect the social and moral tensions of mid-20th-century Cairo.
  • 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: Serein
Triple: [Yonne, hasLeftTributary, Serein]
Generated description
Serein is a river in central France that flows through the Burgundy region before joining the Yonne River.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Serein
Target entity description: Serein is a river in central France that flows through the Burgundy region before joining the Yonne River.
  • A. Everina
    Everina Wollstonecraft was an 18th-century English governess and writer, best known as the younger sister of feminist philosopher Mary Wollstonecraft.
  • B. Corinna
    Corinna was an ancient Greek lyric poet from Boeotia, renowned for her choral poetry composed in the Aeolic dialect.
  • C. Charis
    Charis is one of the three central women in Margaret Atwood’s novel "The Robber Bride," known for her gentle, spiritual nature and complex personal history shaped by trauma and reinvention.
  • D. Channah
    Channah is a given name, often considered a variant of the Hebrew name Hannah, traditionally associated with grace or favor.
  • E. Kirsha
    Kirsha is a central character in Naguib Mahfouz’s novel "Midaq Alley," known as the café owner whose personal life and hidden desires reflect the social and moral tensions of mid-20th-century Cairo.
  • 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_69a889144f2481909932f0746a93023d completed March 4, 2026, 7:33 p.m.
NER Named-entity recognition batch_69abbdbfe6188190a32ab023660312bd completed March 7, 2026, 5:55 a.m.
NED1 Entity disambiguation (via context triple) batch_69ae0b02123c819094d3dc9a7c5c267a completed March 8, 2026, 11:49 p.m.
NEDg Description generation batch_69ae0b78f3fc81909010d88b454e9fa1 completed March 8, 2026, 11:51 p.m.
NED2 Entity disambiguation (via description) batch_69ae0c5983ac819082362a3b67dd9808 completed March 8, 2026, 11:55 p.m.
Created at: March 4, 2026, 7:38 p.m.