Triple

T36684448
Position Surface form Disambiguated ID Type / Status
Subject Vidigueira E905777 entity
Predicate historicalTitleHolder P113994 FINISHED
Object Vasco da Gama NE NERFINISHED

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: Vasco da Gama | Statement: [Vidigueira, historicalTitleHolder, Vasco da Gama]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: historicalTitleHolder
Context triple: [Vidigueira, historicalTitleHolder, Vasco da Gama]
  • A. titleHolders chosen
    Indicates that one or more entities currently or formerly hold a specified title, position, or honor.
  • B. foundingTitleHolder
    Indicates that the subject is the original or inaugural holder of a particular title, position, or office.
  • C. isHistoricTitle
    Indicates that a given title or designation was used in the past and is no longer current, but is retained for historical reference.
  • D. titleHolderServedAs
    Indicates that the entity holding a particular title also performed the role or function associated with that title.
  • E. traditionalTitleHolder
    Indicates that one entity holds a customary or historically established title or rank in relation to another entity.
  • F. None of above.

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_69f76e7011dc819082b324f18b756a1b completed May 3, 2026, 3:49 p.m.
NER Named-entity recognition batch_6a01487b73488190954eb5143e6f246e completed May 11, 2026, 3:09 a.m.
PD Predicate disambiguation batch_6a0145210ae481908da59b02efdbc397 completed May 11, 2026, 2:55 a.m.
Created at: May 3, 2026, 4:12 p.m.