Triple

T16445704
Position Surface form Disambiguated ID Type / Status
Subject Caussade E399417 entity
Predicate demonym P191 FINISHED
Object Caussadais
Caussadais is the French demonym referring to inhabitants or natives of the town of Caussade in southern France.
E1213872 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: Caussadais | Statement: [Caussade, demonym, Caussadais]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Caussadais
Context triple: [Caussade, demonym, Caussadais]
  • A. Cesariny
    Cesariny is the surname of Mário Cesariny de Vasconcelos Tavares, a prominent Portuguese surrealist poet and painter.
  • B. Delebio
    Delebio is a municipality in the Province of Sondrio in the Lombardy region of northern Italy, situated in the Valtellina area near Lake Como.
  • C. Hoschedé
    Hoschedé is a French surname notably associated with the family closely linked to Impressionist painter Claude Monet.
  • D. Conségudes
    Conségudes is a small commune in the Alpes-Maritimes department of southeastern France.
  • E. Louletano
    Louletano is the Portuguese demonym used to refer to people or things originating from the city of Loulé in the Algarve 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: Caussadais
Triple: [Caussade, demonym, Caussadais]
Generated description
Caussadais is the French demonym referring to inhabitants or natives of the town of Caussade in southern France.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Caussadais
Target entity description: Caussadais is the French demonym referring to inhabitants or natives of the town of Caussade in southern France.
  • A. Cesariny
    Cesariny is the surname of Mário Cesariny de Vasconcelos Tavares, a prominent Portuguese surrealist poet and painter.
  • B. Delebio
    Delebio is a municipality in the Province of Sondrio in the Lombardy region of northern Italy, situated in the Valtellina area near Lake Como.
  • C. Hoschedé
    Hoschedé is a French surname notably associated with the family closely linked to Impressionist painter Claude Monet.
  • D. Conségudes
    Conségudes is a small commune in the Alpes-Maritimes department of southeastern France.
  • E. Louletano
    Louletano is the Portuguese demonym used to refer to people or things originating from the city of Loulé in the Algarve 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_69d87f2c6778819080fcfae53be8f12a completed April 10, 2026, 4:40 a.m.
NER Named-entity recognition batch_69e32cdb5d908190bb6c5cb3c794cf4b completed April 18, 2026, 7:03 a.m.
NED1 Entity disambiguation (via context triple) batch_6a0045922d748190bb3200c96f244149 completed May 10, 2026, 8:45 a.m.
NEDg Description generation batch_6a00473d31308190ab836c09da2a82da completed May 10, 2026, 8:52 a.m.
NED2 Entity disambiguation (via description) batch_6a0047b4b6688190afef52b39788ceae completed May 10, 2026, 8:54 a.m.
Created at: April 10, 2026, 5:10 a.m.