Triple

T20047984
Position Surface form Disambiguated ID Type / Status
Subject João Sàágua E497612 entity
Predicate familyName P18 FINISHED
Object Sàágua
Sàágua is a Portuguese surname most notably associated with individuals such as João Sàágua.
 E1409315 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: Sàágua | Statement: [João Sàágua, familyName, Sàágua]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Sàágua
Context triple: [João Sàágua, familyName, Sàágua]
  • A. Soatá
    Soatá is a small town and municipality in the Boyacá Department of Colombia, known for its dry canyon landscapes and production of regional fruits.
  • B. Coruripe
    Coruripe is a coastal municipality in northeastern Brazil known for its beaches, fishing activities, and sugarcane agriculture.
  • C. Ananindeua
    Ananindeua is a major urban and industrial city in northern Brazil, located in the state of Pará within the Amazon region.
  • D. Rio de Moinhos
    Rio de Moinhos is a civil parish in the municipality of Abrantes in central Portugal, known for its rural character and traditional Portuguese village life.
  • E. Suawa
    Suawa is an Austronesian language spoken by the Suwawa people of North Sulawesi, Indonesia.
  • 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: Sàágua
Triple: [João Sàágua, familyName, Sàágua]
Generated description
Sàágua is a Portuguese surname most notably associated with individuals such as João Sàágua.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Sàágua
Target entity description: Sàágua is a Portuguese surname most notably associated with individuals such as João Sàágua.
  • A. Soatá
    Soatá is a small town and municipality in the Boyacá Department of Colombia, known for its dry canyon landscapes and production of regional fruits.
  • B. Coruripe
    Coruripe is a coastal municipality in northeastern Brazil known for its beaches, fishing activities, and sugarcane agriculture.
  • C. Ananindeua
    Ananindeua is a major urban and industrial city in northern Brazil, located in the state of Pará within the Amazon region.
  • D. Rio de Moinhos
    Rio de Moinhos is a civil parish in the municipality of Abrantes in central Portugal, known for its rural character and traditional Portuguese village life.
  • E. Suawa
    Suawa is an Austronesian language spoken by the Suwawa people of North Sulawesi, Indonesia.
  • 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_69da627278c88190babe4297a9df1236 completed April 11, 2026, 3:02 p.m.
NER Named-entity recognition batch_69e6632c085081908710cbc939ac9971 completed April 20, 2026, 5:32 p.m.
NED1 Entity disambiguation (via context triple) batch_6a081605fd748190a44be56169074887 completed May 16, 2026, 7 a.m.
NEDg Description generation batch_6a0818447d288190812c4e5f62436851 completed May 16, 2026, 7:09 a.m.
NED2 Entity disambiguation (via description) batch_6a0818b9ea88819091993dfcdfec0793 completed May 16, 2026, 7:11 a.m.
Created at: April 11, 2026, 3:37 p.m.