Triple

T1487050
Position Surface form Disambiguated ID Type / Status
Subject Paolo E29488 entity
Predicate equivalentNameInPortuguese P28329 FINISHED
Object Paulo E29488 NE FINISHED

How this triple was built (3 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: Paulo | Statement: [Paolo, equivalentNameInPortuguese, Paulo]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Paulo
Context triple: [Paolo, equivalentNameInPortuguese, Paulo]
  • A. Paolo chosen
    Paolo is the Italian form of the given name Paul, commonly used in Italy and other Italian-speaking communities.
  • B. Marcelo
    Marcelo is a common Portuguese and Spanish given name, notably borne by figures such as Brazilian footballer Marcelo Vieira and former Portuguese Prime Minister Marcelo Caetano.
  • C. Mateus
    Mateus is a Portuguese surname commonly borne by individuals such as Rui Mateus.
  • D. Pablo
    Pablo is a given name, especially common in Spanish-speaking countries, that corresponds to the English name Paul.
  • E. Roberto
    Roberto is a masculine given name commonly used in Romance-language countries, equivalent to the English name Robert.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: equivalentNameInPortuguese
Context triple: [Paolo, equivalentNameInPortuguese, Paulo]
  • A. nameInPortuguese
    Indicates that an entity is referred to by a specific name when expressed in the Portuguese language.
  • B. hasOfficialNameInPortuguese
    Indicates that an entity has an official name expressed in the Portuguese language.
  • C. languageEquivalent chosen
    Indicates that two linguistic expressions convey the same meaning or function across different languages or language varieties.
  • D. equivalentInZapotec
    Indicates that two linguistic elements are equivalent in meaning or function within the Zapotec language.
  • E. hasNameInSpanish
    Indicates that an entity is associated with a specific name expressed in the Spanish language.
  • F. None of above.

Provenance (4 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_69a498da82e08190ba833330d05f380f completed March 1, 2026, 7:51 p.m.
NER Named-entity recognition batch_69a4c6a3325881909bbc55efc04ad60f completed March 1, 2026, 11:07 p.m.
NED1 Entity disambiguation (via context triple) batch_69ad1ca4c4e481909ea0ca76841454b1 completed March 8, 2026, 6:52 a.m.
PD Predicate disambiguation batch_69a4c486eacc81909c272f9bdf50a7c3 completed March 1, 2026, 10:58 p.m.
Created at: March 1, 2026, 8:12 p.m.