Triple

T28139203
Position Surface form Disambiguated ID Type / Status
Subject Cháves E714293 entity
Predicate hasBrazilianPortugueseTitle P23359 FINISHED
Object Chaves 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: Chaves | Statement: [Cháves, hasBrazilianPortugueseTitle, Chaves]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: hasBrazilianPortugueseTitle
Context triple: [Cháves, hasBrazilianPortugueseTitle, Chaves]
  • A. titleInPortuguese
    Indicates that an entity has a specific title expressed in the Portuguese language.
  • B. equivalentTitleInPortuguese
    Indicates that one entity has a title that is the equivalent of another entity’s title, specifically in Portuguese.
  • C. resultingTitleCountForBrazil
    Indicates the number of titles that result or apply specifically to Brazil in a given context.
  • D. hasLatinTitle
    Indicates that an entity possesses a title or name expressed in Latin.
  • E. nameInPortuguese chosen
    Indicates that an entity is referred to by a specific name when expressed in the Portuguese language.
  • 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_69efd6af156c81908f50c2cd7db0e1ef completed April 27, 2026, 9:35 p.m.
NER Named-entity recognition batch_69f6a28c7c148190bfc980aad9f678ca completed May 3, 2026, 1:19 a.m.
PD Predicate disambiguation batch_69f69fe1e3c88190830bb2e9f407357e completed May 3, 2026, 1:07 a.m.
Created at: April 27, 2026, 9:52 p.m.