Triple

T11786489
Position Surface form Disambiguated ID Type / Status
Subject State of Espírito Santo E280282 entity
Predicate hasCity P316 FINISHED
Object Anchieta
Anchieta is a coastal municipality in the Brazilian state of Espírito Santo known for its beaches and historical religious heritage.
E946434 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: Anchieta | Statement: [State of Espírito Santo, hasCity, Anchieta]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Anchieta
Context triple: [State of Espírito Santo, hasCity, Anchieta]
  • A. Atanacio
    Atanacio is the Spanish given name of Hall of Fame Cuban-American baseball player Tony Pérez.
  • B. Calixto
    Calixto is a masculine given name of Spanish origin, historically borne by several notable Latin American figures.
  • C. Ciriaco
    Ciriaco is a variant of the name of Saint Cyriacus, an early Christian martyr venerated in various Christian traditions.
  • D. Bartolomeo
    Bartolomeo is a masculine Italian given name historically borne by several notable figures, including artists, architects, and explorers.
  • E. José de Arimatea Moyao
    José de Arimatea Moyao is a Mexican architect known for designing major contemporary cultural and entertainment venues, including prominent auditoriums and performance spaces.
  • 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: Anchieta
Triple: [State of Espírito Santo, hasCity, Anchieta]
Generated description
Anchieta is a coastal municipality in the Brazilian state of Espírito Santo known for its beaches and historical religious heritage.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Anchieta
Target entity description: Anchieta is a coastal municipality in the Brazilian state of Espírito Santo known for its beaches and historical religious heritage.
  • A. Atanacio
    Atanacio is the Spanish given name of Hall of Fame Cuban-American baseball player Tony Pérez.
  • B. Calixto
    Calixto is a masculine given name of Spanish origin, historically borne by several notable Latin American figures.
  • C. Ciriaco
    Ciriaco is a variant of the name of Saint Cyriacus, an early Christian martyr venerated in various Christian traditions.
  • D. Bartolomeo
    Bartolomeo is a masculine Italian given name historically borne by several notable figures, including artists, architects, and explorers.
  • E. José de Arimatea Moyao
    José de Arimatea Moyao is a Mexican architect known for designing major contemporary cultural and entertainment venues, including prominent auditoriums and performance spaces.
  • 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_69d6ab258b808190b1735835c841e3a4 completed April 8, 2026, 7:23 p.m.
NER Named-entity recognition batch_69d8a586803481909af0032c35ca6e51 completed April 10, 2026, 7:23 a.m.
NED1 Entity disambiguation (via context triple) batch_69f090e8828481908baa7f6067190db3 completed April 28, 2026, 10:50 a.m.
NEDg Description generation batch_69f0bd3f39608190b29027b30664bd9c completed April 28, 2026, 1:59 p.m.
NED2 Entity disambiguation (via description) batch_69f0ef5afd448190953b5d9929478132 completed April 28, 2026, 5:33 p.m.
Created at: April 8, 2026, 9:42 p.m.