Triple

T1222755
Position Surface form Disambiguated ID Type / Status
Subject Alagoas E26260 entity
Predicate hasCity P316 FINISHED
Object Arapiraca
Arapiraca is a major city in the Brazilian state of Alagoas, known as an important regional commercial and agricultural center.
E164456 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: Arapiraca | Statement: [Alagoas, hasCity, Arapiraca]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Arapiraca
Context triple: [Alagoas, hasCity, Arapiraca]
  • A. Aracati
    Aracati is a historic coastal city in northeastern Brazil known for its colonial architecture and nearby Canoa Quebrada beach.
  • B. Panarima
    Panarima is a musical track featured on the album "Legend of the Sun Virgin."
  • C. 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.
  • D. Igarassu
    Igarassu is one of Brazil’s oldest colonial towns, known for its historic churches and coastal location in the northeastern state of Pernambuco.
  • E. Brejo de Beberibe
    Brejo de Beberibe is a neighborhood within 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: Arapiraca
Triple: [Alagoas, hasCity, Arapiraca]
Generated description
Arapiraca is a major city in the Brazilian state of Alagoas, known as an important regional commercial and agricultural center.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Arapiraca
Target entity description: Arapiraca is a major city in the Brazilian state of Alagoas, known as an important regional commercial and agricultural center.
  • A. Aracati
    Aracati is a historic coastal city in northeastern Brazil known for its colonial architecture and nearby Canoa Quebrada beach.
  • B. Panarima
    Panarima is a musical track featured on the album "Legend of the Sun Virgin."
  • C. 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.
  • D. Igarassu
    Igarassu is one of Brazil’s oldest colonial towns, known for its historic churches and coastal location in the northeastern state of Pernambuco.
  • E. Brejo de Beberibe
    Brejo de Beberibe is a neighborhood within 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_69a49484688c8190a1bf285eb396a8b6 completed March 1, 2026, 7:33 p.m.
NER Named-entity recognition batch_69a4be21a2bc819094b47580d7c5cdf8 completed March 1, 2026, 10:30 p.m.
NED1 Entity disambiguation (via context triple) batch_69ad014954b08190a787d7e03e503d8d completed March 8, 2026, 4:55 a.m.
NEDg Description generation batch_69ad039c5d788190aa10636e2827b489 completed March 8, 2026, 5:05 a.m.
NED2 Entity disambiguation (via description) batch_69ad03fa7b0c8190906ed79f24723216 completed March 8, 2026, 5:07 a.m.
Created at: March 1, 2026, 7:47 p.m.