Triple

T3096985
Position Surface form Disambiguated ID Type / Status
Subject Angra do Heroísmo E64618 entity
Predicate hasParish P35 FINISHED
Object Ribeirinha
Ribeirinha is a civil parish located within the municipality of Angra do Heroísmo on Terceira Island in the Azores, Portugal.
 E328152 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: Ribeirinha | Statement: [Angra do Heroísmo, hasParish, Ribeirinha]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Ribeirinha
Context triple: [Angra do Heroísmo, hasParish, Ribeirinha]
  • A. Corumbá
    Corumbá is a Brazilian city in the state of Mato Grosso do Sul, known as a key gateway to the Pantanal wetlands and an important regional center for river trade and ecotourism.
  • B. Jordão
    Jordão is a neighborhood of Recife, Brazil, known as a largely residential area on the city’s outskirts.
  • C. Rio Hato
    Rio Hato is a coastal area in Panama known for its airfield, which was a key target during the U.S. invasion of Panama in Operation Just Cause.
  • D. Reritiba
    Reritiba is a historic locality in Brazil, known as the place where the Jesuit missionary and saint José de Anchieta died.
  • E. Caicó
    Caicó is a municipality in the interior of Rio Grande do Norte, Brazil, known for its strong cultural traditions, especially its famous religious festivals and regional cuisine.
  • 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: Ribeirinha
Triple: [Angra do Heroísmo, hasParish, Ribeirinha]
Generated description
Ribeirinha is a civil parish located within the municipality of Angra do Heroísmo on Terceira Island in the Azores, Portugal.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Ribeirinha
Target entity description: Ribeirinha is a civil parish located within the municipality of Angra do Heroísmo on Terceira Island in the Azores, Portugal.
  • A. Corumbá
    Corumbá is a Brazilian city in the state of Mato Grosso do Sul, known as a key gateway to the Pantanal wetlands and an important regional center for river trade and ecotourism.
  • B. Jordão
    Jordão is a neighborhood of Recife, Brazil, known as a largely residential area on the city’s outskirts.
  • C. Rio Hato
    Rio Hato is a coastal area in Panama known for its airfield, which was a key target during the U.S. invasion of Panama in Operation Just Cause.
  • D. Reritiba
    Reritiba is a historic locality in Brazil, known as the place where the Jesuit missionary and saint José de Anchieta died.
  • E. Caicó
    Caicó is a municipality in the interior of Rio Grande do Norte, Brazil, known for its strong cultural traditions, especially its famous religious festivals and regional cuisine.
  • 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_69ad857dc98481909e585dc3372e3ed5 completed March 8, 2026, 2:19 p.m.
NER Named-entity recognition batch_69ada23cbe3c8190b7ec5cfd464a1ca8 completed March 8, 2026, 4:22 p.m.
NED1 Entity disambiguation (via context triple) batch_69b20378a1488190bd0fa7d3f4639220 completed March 12, 2026, 12:06 a.m.
NEDg Description generation batch_69b2051868048190b197646d452df8e9 completed March 12, 2026, 12:13 a.m.
NED2 Entity disambiguation (via description) batch_69b2094564e881909274bb34be922166 completed March 12, 2026, 12:31 a.m.
Created at: March 8, 2026, 3:03 p.m.