Triple

T15490945
Position Surface form Disambiguated ID Type / Status
Subject São Bento do Cortiço e Santo Estêvão E378681 entity
Predicate contains P35 FINISHED
Object Santo Estêvão
Santo Estêvão is a locality in Portugal that forms part of the civil parish of São Bento do Cortiço e Santo Estêvão.
 E1160858 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: Santo Estêvão | Statement: [São Bento do Cortiço e Santo Estêvão, contains, Santo Estêvão]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Santo Estêvão
Context triple: [São Bento do Cortiço e Santo Estêvão, contains, Santo Estêvão]
  • A. Estevão
    Estevão is the Portuguese given name equivalent to the Hungarian name István, commonly rendered in English as Stephen.
  • B. São Teotónio
    São Teotónio is a civil parish in the municipality of Odemira, Portugal, known for its rural character and proximity to the southwestern Atlantic coast.
  • C. São Lucas
    São Lucas is a metro station on São Paulo’s Line 15–Silver monorail system in Brazil.
  • D. São Pantaleão
    São Pantaleão was one of the caravels in Bartolomeu Dias’s fleet during his pioneering voyage around the Cape of Good Hope in the late 15th century.
  • E. Santo Iago
    Santo Iago is an older Spanish form of the name Santiago, traditionally associated with Saint James and the city that bears his name.
  • 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: Santo Estêvão
Triple: [São Bento do Cortiço e Santo Estêvão, contains, Santo Estêvão]
Generated description
Santo Estêvão is a locality in Portugal that forms part of the civil parish of São Bento do Cortiço e Santo Estêvão.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Santo Estêvão
Target entity description: Santo Estêvão is a locality in Portugal that forms part of the civil parish of São Bento do Cortiço e Santo Estêvão.
  • A. Estevão
    Estevão is the Portuguese given name equivalent to the Hungarian name István, commonly rendered in English as Stephen.
  • B. São Teotónio
    São Teotónio is a civil parish in the municipality of Odemira, Portugal, known for its rural character and proximity to the southwestern Atlantic coast.
  • C. São Lucas
    São Lucas is a metro station on São Paulo’s Line 15–Silver monorail system in Brazil.
  • D. São Pantaleão
    São Pantaleão was one of the caravels in Bartolomeu Dias’s fleet during his pioneering voyage around the Cape of Good Hope in the late 15th century.
  • E. Santo Iago
    Santo Iago is an older Spanish form of the name Santiago, traditionally associated with Saint James and the city that bears his name.
  • 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_69d85cd53a7c819080f5b9042c4c199e completed April 10, 2026, 2:13 a.m.
NER Named-entity recognition batch_69e03fac2af88190ac1d119e6b21dbe0 completed April 16, 2026, 1:47 a.m.
NED1 Entity disambiguation (via context triple) batch_69ff365f27c48190822254b6da504d3d completed May 9, 2026, 1:27 p.m.
NEDg Description generation batch_69ff375856448190a61979dfff751f06 completed May 9, 2026, 1:32 p.m.
NED2 Entity disambiguation (via description) batch_69ff382f1bbc8190810d0d825430f9ea completed May 9, 2026, 1:35 p.m.
Created at: April 10, 2026, 3:48 a.m.