Triple

T8045372
Position Surface form Disambiguated ID Type / Status
Subject Carvallo E187535 entity
Predicate hasEtymologicalRelation P5801 FINISHED
Object Carvalho E606359 NE FINISHED

How this triple was built (2 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: Carvalho | Statement: [Carvallo, hasEtymologicalRelation, Carvalho]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Carvalho
Context triple: [Carvallo, hasEtymologicalRelation, Carvalho]
  • A. Carvalho chosen
    Carvalho is a common Portuguese surname borne by many individuals, including the former professional footballer Ricardo Carvalho.
  • B. Teixeira
    Teixeira is a Portuguese-origin surname borne by numerous individuals, including the American former Major League Baseball first baseman Mark Teixeira.
  • C. Carvalhal
    Carvalhal is a civil parish located within the municipality of Abrantes in central Portugal.
  • D. Cardoso
    Cardoso is a common Portuguese-language surname borne by numerous individuals, including prominent Brazilian political and cultural figures.
  • E. Santos de Carvalho
    Santos de Carvalho was a Portuguese architect known for his work on prominent 19th-century Lisbon landmarks, including the monumental Arco da Rua Augusta.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (3 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_69ca82b00cb48190b59a300f70e97bd7 completed March 30, 2026, 2:03 p.m.
NER Named-entity recognition batch_69cb3f4c79388190aecee6e313071a17 completed March 31, 2026, 3:28 a.m.
NED1 Entity disambiguation (via context triple) batch_69cc5711d2bc8190911f2cade7596be5 completed March 31, 2026, 11:21 p.m.
Created at: March 30, 2026, 5:24 p.m.