Triple

T19086108
Position Surface form Disambiguated ID Type / Status
Subject Mesoregion of Lower Amazon E467152 entity
Predicate containsMunicipality P852 FINISHED
Object Oriximiná
Oriximiná is a large municipality in the Brazilian state of Pará, known for its Amazon rainforest areas, river systems, and significant mining and conservation sites.
E1357144 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: Oriximiná | Statement: [Mesoregion of Lower Amazon, containsMunicipality, Oriximiná]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Oriximiná
Context triple: [Mesoregion of Lower Amazon, containsMunicipality, Oriximiná]
  • A. Kungur
    Kungur is a historic Russian town in Perm Krai known for its ice cave, traditional trade heritage, and role as a regional cultural center.
  • B. Igarassu
    Igarassu is one of Brazil’s oldest colonial towns, known for its historic churches and coastal location in the northeastern state of Pernambuco.
  • C. Cartaxo
    Cartaxo is a Portuguese town in the Ribatejo region known historically for its wine production and agricultural surroundings.
  • D. Garça
    Garça is the Portuguese term for a heron, a long-legged wading bird commonly found near wetlands and waterways.
  • E. Icó
    Icó is a historic municipality in northeastern Brazil known for its colonial architecture and cultural heritage within 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: Oriximiná
Triple: [Mesoregion of Lower Amazon, containsMunicipality, Oriximiná]
Generated description
Oriximiná is a large municipality in the Brazilian state of Pará, known for its Amazon rainforest areas, river systems, and significant mining and conservation sites.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Oriximiná
Target entity description: Oriximiná is a large municipality in the Brazilian state of Pará, known for its Amazon rainforest areas, river systems, and significant mining and conservation sites.
  • A. Kungur
    Kungur is a historic Russian town in Perm Krai known for its ice cave, traditional trade heritage, and role as a regional cultural center.
  • B. Igarassu
    Igarassu is one of Brazil’s oldest colonial towns, known for its historic churches and coastal location in the northeastern state of Pernambuco.
  • C. Cartaxo
    Cartaxo is a Portuguese town in the Ribatejo region known historically for its wine production and agricultural surroundings.
  • D. Garça
    Garça is the Portuguese term for a heron, a long-legged wading bird commonly found near wetlands and waterways.
  • E. Icó
    Icó is a historic municipality in northeastern Brazil known for its colonial architecture and cultural heritage within 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_69d8dd05ac4c8190b1967d8f97f3fb2f completed April 10, 2026, 11:20 a.m.
NER Named-entity recognition batch_69e5e347ee288190a3e935ff89ca94aa completed April 20, 2026, 8:26 a.m.
NED1 Entity disambiguation (via context triple) batch_6a05d368740c81909ec738532cd670bf completed May 14, 2026, 1:51 p.m.
NEDg Description generation batch_6a05d4ff70d0819089a00de0404768a4 completed May 14, 2026, 1:58 p.m.
NED2 Entity disambiguation (via description) batch_6a05d58227188190928741f15b685cb0 completed May 14, 2026, 2 p.m.
Created at: April 10, 2026, 12:04 p.m.