Triple

T16201350
Position Surface form Disambiguated ID Type / Status
Subject Blain E393206 entity
Predicate hasDemonym P191 FINISHED
Object Blinoise
Blinoise is the term used to refer to inhabitants or natives of the place called Blain.
 E1219644 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: Blinoise | Statement: [Blain, hasDemonym, Blinoise]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Blinoise
Context triple: [Blain, hasDemonym, Blinoise]
  • A. Guichen
    Guichen was a French admiral, Luc Urbain de Bouëxic, comte de Guichen, noted for commanding French naval forces during the American Revolutionary War.
  • B. Butre
    Butre is a coastal village in Ghana known for its historic role in European colonial trade and the presence of the former Dutch fort, Fort Batenstein.
  • C. Sauvy
    Sauvy is a French surname most notably borne by Alfred Sauvy, a prominent demographer, sociologist, and economist.
  • D. Libatique
    Libatique is the surname of Matthew Libatique, an acclaimed American cinematographer known for his work on films such as "Black Swan" and "Requiem for a Dream."
  • E. Le Bry
    Le Bry is a Swiss municipality located in the canton of Fribourg, known for its proximity to the scenic Lake of Gruyère in the Gruyère region.
  • 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: Blinoise
Triple: [Blain, hasDemonym, Blinoise]
Generated description
Blinoise is the term used to refer to inhabitants or natives of the place called Blain.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Blinoise
Target entity description: Blinoise is the term used to refer to inhabitants or natives of the place called Blain.
  • A. Guichen
    Guichen was a French admiral, Luc Urbain de Bouëxic, comte de Guichen, noted for commanding French naval forces during the American Revolutionary War.
  • B. Butre
    Butre is a coastal village in Ghana known for its historic role in European colonial trade and the presence of the former Dutch fort, Fort Batenstein.
  • C. Sauvy
    Sauvy is a French surname most notably borne by Alfred Sauvy, a prominent demographer, sociologist, and economist.
  • D. Libatique
    Libatique is the surname of Matthew Libatique, an acclaimed American cinematographer known for his work on films such as "Black Swan" and "Requiem for a Dream."
  • E. Le Bry
    Le Bry is a Swiss municipality located in the canton of Fribourg, known for its proximity to the scenic Lake of Gruyère in the Gruyère region.
  • 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_69d87f1f5bd08190bd01cac0d5b9d2ef completed April 10, 2026, 4:39 a.m.
NER Named-entity recognition batch_69e2270aa7f08190ab37aa9ff46816fc completed April 17, 2026, 12:26 p.m.
NED1 Entity disambiguation (via context triple) batch_6a006796bed4819085d988d7f2d7afcb completed May 10, 2026, 11:10 a.m.
NEDg Description generation batch_6a0068c141188190bedb7d71a80473f5 completed May 10, 2026, 11:15 a.m.
NED2 Entity disambiguation (via description) batch_6a0069847e2c819088426aacb899e370 completed May 10, 2026, 11:18 a.m.
Created at: April 10, 2026, 5:03 a.m.