Triple

T1170091
Position Surface form Disambiguated ID Type / Status
Subject Pernambuco E24892 entity
Predicate hasCity P316 FINISHED
Object Igarassu
Igarassu is one of Brazil’s oldest colonial towns, known for its historic churches and coastal location in the northeastern state of Pernambuco.
 E149432 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: Igarassu | Statement: [Pernambuco, hasCity, Igarassu]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Igarassu
Context triple: [Pernambuco, hasCity, Igarassu]
  • A. Parnamirim
    Parnamirim is a rapidly growing city in northeastern Brazil known for its proximity to Natal and its historical role in World War II aviation.
  • B. 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.
  • C. Panarima
    Panarima is a musical track featured on the album "Legend of the Sun Virgin."
  • D. Alcântara
    Alcântara is a historic coastal municipality in the Brazilian state of Maranhão, known for its preserved colonial architecture and proximity to the Alcântara Launch Center.
  • E. Dois Unidos
    Dois Unidos is a neighborhood located in the city of Recife, in the state of Pernambuco, Brazil.
  • 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: Igarassu
Triple: [Pernambuco, hasCity, Igarassu]
Generated description
Igarassu is one of Brazil’s oldest colonial towns, known for its historic churches and coastal location in the northeastern state of Pernambuco.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Igarassu
Target entity description: Igarassu is one of Brazil’s oldest colonial towns, known for its historic churches and coastal location in the northeastern state of Pernambuco.
  • A. Parnamirim
    Parnamirim is a rapidly growing city in northeastern Brazil known for its proximity to Natal and its historical role in World War II aviation.
  • B. 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.
  • C. Panarima
    Panarima is a musical track featured on the album "Legend of the Sun Virgin."
  • D. Alcântara
    Alcântara is a historic coastal municipality in the Brazilian state of Maranhão, known for its preserved colonial architecture and proximity to the Alcântara Launch Center.
  • E. Dois Unidos
    Dois Unidos is a neighborhood located in the city of Recife, in the state of Pernambuco, Brazil.
  • 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_69a494082a7c819095004f423f294a64 completed March 1, 2026, 7:31 p.m.
NER Named-entity recognition batch_69a4bce972cc8190bce0b77cfda6da41 completed March 1, 2026, 10:25 p.m.
NED1 Entity disambiguation (via context triple) batch_69acb2f6f3e4819099310a5e21455c21 completed March 7, 2026, 11:21 p.m.
NEDg Description generation batch_69acb3ff59488190a05fd3400e76dd56 completed March 7, 2026, 11:25 p.m.
NED2 Entity disambiguation (via description) batch_69acb47f0b088190b3eb32101c5e6f89 completed March 7, 2026, 11:27 p.m.
Created at: March 1, 2026, 7:45 p.m.