Triple

T2343916
Position Surface form Disambiguated ID Type / Status
Subject Eure E45086 entity
Predicate hasTributary P415 FINISHED
Object Blaise
The Blaise is a small river in northern France that flows through the Eure department as one of its tributaries.
 E274318 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: Blaise | Statement: [Eure, hasTributary, Blaise]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Blaise
Context triple: [Eure, hasTributary, Blaise]
  • A. Blaise
    Blaise is a given name most famously borne by the French mathematician, physicist, and philosopher Blaise Pascal.
  • B. Clément
    Clément is a French given name, equivalent to Clement in English, commonly used for males.
  • C. Odilon
    Odilon is the nickname of Odilon Redon, a French Symbolist painter and printmaker known for his dreamlike, often fantastical imagery.
  • D. Élie
    Élie is a French given name most notably borne by the influential mathematician Élie Cartan.
  • E. Laurent
    Laurent is a Belgian prince, the younger son of King Albert II and Queen Paola, known for his environmental interests and occasional public controversies.
  • 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: Blaise
Triple: [Eure, hasTributary, Blaise]
Generated description
The Blaise is a small river in northern France that flows through the Eure department as one of its tributaries.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Blaise
Target entity description: The Blaise is a small river in northern France that flows through the Eure department as one of its tributaries.
  • A. Blaise
    Blaise is a given name most famously borne by the French mathematician, physicist, and philosopher Blaise Pascal.
  • B. Clément
    Clément is a French given name, equivalent to Clement in English, commonly used for males.
  • C. Odilon
    Odilon is the nickname of Odilon Redon, a French Symbolist painter and printmaker known for his dreamlike, often fantastical imagery.
  • D. Élie
    Élie is a French given name most notably borne by the influential mathematician Élie Cartan.
  • E. Laurent
    Laurent is a Belgian prince, the younger son of King Albert II and Queen Paola, known for his environmental interests and occasional public controversies.
  • 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_69af2b6940f4819094998ddbb62efd19 completed March 9, 2026, 8:19 p.m.
NEDg Description generation batch_69af48c450e48190b7dfa8926fe9c9bd completed March 9, 2026, 10:25 p.m.
NED2 Entity disambiguation (via description) batch_69af491ac8488190bdc3731ab22655c9 completed March 9, 2026, 10:26 p.m.
Created at: March 4, 2026, 7:52 p.m.