Triple

T1816458
Position Surface form Disambiguated ID Type / Status
Subject Guanabara Bay E40446 entity
Predicate borders P224 FINISHED
Object Itaboraí
Itaboraí is a municipality in the state of Rio de Janeiro, Brazil, known for its industrial development and proximity to the metropolitan area of Rio de Janeiro.
 E204807 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: Itaboraí | Statement: [Guanabara Bay, borders, Itaboraí]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Itaboraí
Context triple: [Guanabara Bay, borders, Itaboraí]
  • A. Ibura
    Ibura is a populous residential neighborhood and district located in the southern zone of Recife, Brazil.
  • B. Urambo
    Urambo is a town and district headquarters in western Tanzania known historically for tobacco production and its location within the Tabora Region.
  • C. Urunga
    Urunga is a small coastal town in New South Wales, Australia, known for its scenic boardwalks, estuary views, and relaxed seaside atmosphere.
  • D. Butuan
    Butuan is a historically significant city in the Caraga region of northeastern Mindanao in the Philippines, known for its rich pre-colonial heritage and archaeological sites.
  • E. Barbalha
    Barbalha is a municipality in northeastern Brazil known for its traditional cultural festivals and location in the state of Ceará.
  • 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: Itaboraí
Triple: [Guanabara Bay, borders, Itaboraí]
Generated description
Itaboraí is a municipality in the state of Rio de Janeiro, Brazil, known for its industrial development and proximity to the metropolitan area of Rio de Janeiro.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Itaboraí
Target entity description: Itaboraí is a municipality in the state of Rio de Janeiro, Brazil, known for its industrial development and proximity to the metropolitan area of Rio de Janeiro.
  • A. Ibura
    Ibura is a populous residential neighborhood and district located in the southern zone of Recife, Brazil.
  • B. Urambo
    Urambo is a town and district headquarters in western Tanzania known historically for tobacco production and its location within the Tabora Region.
  • C. Urunga
    Urunga is a small coastal town in New South Wales, Australia, known for its scenic boardwalks, estuary views, and relaxed seaside atmosphere.
  • D. Butuan
    Butuan is a historically significant city in the Caraga region of northeastern Mindanao in the Philippines, known for its rich pre-colonial heritage and archaeological sites.
  • E. Barbalha
    Barbalha is a municipality in northeastern Brazil known for its traditional cultural festivals and location in the state of Ceará.
  • 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_69a8864526c081908a3a4d74f689e2c5 completed March 4, 2026, 7:21 p.m.
NER Named-entity recognition batch_69aa65f614888190a475f7df627d5f0a completed March 6, 2026, 5:28 a.m.
NED1 Entity disambiguation (via context triple) batch_69adbf6019bc81909266b7f03b282f34 completed March 8, 2026, 6:26 p.m.
NEDg Description generation batch_69adc3557d988190ae04df41e81bc842 completed March 8, 2026, 6:43 p.m.
NED2 Entity disambiguation (via description) batch_69adc3fadd08819090f9eedb4688cd4a completed March 8, 2026, 6:46 p.m.
Created at: March 4, 2026, 7:32 p.m.