Triple

T5134467
Position Surface form Disambiguated ID Type / Status
Subject Duchy of Aquitaine E115785 entity
Predicate contains P35 FINISHED
Object Aunis
Aunis was a historic coastal province in western France centered around the port city of La Rochelle.
E496848 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: Aunis | Statement: [Duchy of Aquitaine, contains, Aunis]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Aunis
Context triple: [Duchy of Aquitaine, contains, Aunis]
  • A. Greuze
    Greuze is a French surname most famously associated with Jean-Baptiste Greuze, an 18th-century painter known for his sentimental and moralizing genre scenes.
  • B. Catroux
    Catroux is a French surname most notably borne by Georges Catroux, a prominent French general and diplomat of the 20th century.
  • C. Aulon
    Aulon is the historical name of the coastal city now known as Vlorë in southern Albania, an important port with ancient Greek and Roman roots.
  • D. Falconet
    Falconet is a French surname most notably associated with Étienne-Maurice Falconet, an 18th-century sculptor renowned for works such as the Bronze Horseman statue of Peter the Great in Saint Petersburg.
  • E. Maurus
    Maurus is a masculine given name of Latin origin, historically associated with early Christian saints and used as a variant of names like Maurice.
  • 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: Aunis
Triple: [Duchy of Aquitaine, contains, Aunis]
Generated description
Aunis was a historic coastal province in western France centered around the port city of La Rochelle.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Aunis
Target entity description: Aunis was a historic coastal province in western France centered around the port city of La Rochelle.
  • A. Greuze
    Greuze is a French surname most famously associated with Jean-Baptiste Greuze, an 18th-century painter known for his sentimental and moralizing genre scenes.
  • B. Catroux
    Catroux is a French surname most notably borne by Georges Catroux, a prominent French general and diplomat of the 20th century.
  • C. Aulon
    Aulon is the historical name of the coastal city now known as Vlorë in southern Albania, an important port with ancient Greek and Roman roots.
  • D. Falconet
    Falconet is a French surname most notably associated with Étienne-Maurice Falconet, an 18th-century sculptor renowned for works such as the Bronze Horseman statue of Peter the Great in Saint Petersburg.
  • E. Maurus
    Maurus is a masculine given name of Latin origin, historically associated with early Christian saints and used as a variant of names like Maurice.
  • 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_69bd44459a988190a772a5c2ec6a1965 completed March 20, 2026, 12:57 p.m.
NER Named-entity recognition batch_69bd784e306081908dd8317227227807 completed March 20, 2026, 4:39 p.m.
NED1 Entity disambiguation (via context triple) batch_69bec4cd5e188190b1404cefc887e0b3 completed March 21, 2026, 4:18 p.m.
NEDg Description generation batch_69bec571d5948190b659a7b5038f8bdd completed March 21, 2026, 4:21 p.m.
NED2 Entity disambiguation (via description) batch_69bec973e71c8190a9c043389d627156 completed March 21, 2026, 4:38 p.m.
Created at: March 20, 2026, 1:43 p.m.