Triple

T15948573
Position Surface form Disambiguated ID Type / Status
Subject Oliveira do Bairro E386752 entity
Predicate hasParish P35 FINISHED
Object Oiã
Oiã is a civil parish in the municipality of Oliveira do Bairro in Portugal’s Aveiro District, known for its residential character and local commerce.
 E1184737 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: Oiã | Statement: [Oliveira do Bairro, hasParish, Oiã]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Oiã
Context triple: [Oliveira do Bairro, hasParish, Oiã]
  • A. Oan
    Oan was the Japanese era name (nengō) used during part of the Muromachi period under the rule of shogun Ashikaga Yoshimitsu.
  • B. Laranjinha
    Laranjinha is a fast, sweeping right-hand bend on the Autódromo José Carlos Pace (Interlagos) circuit in São Paulo, Brazil, known for its challenging, high-speed nature.
  • C. Fala
    Fala is a Romance language spoken in a small area of northwestern Extremadura, Spain, closely related to Galician and Portuguese.
  • D. Timbó
    Timbó is a municipality in the state of Santa Catarina in southern Brazil, known for its strong German-Italian cultural heritage and picturesque setting in the Itajaí Valley.
  • E. Eita
    Eita is a village located on Tarawa Atoll in the Pacific island nation of Kiribati.
  • 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: Oiã
Triple: [Oliveira do Bairro, hasParish, Oiã]
Generated description
Oiã is a civil parish in the municipality of Oliveira do Bairro in Portugal’s Aveiro District, known for its residential character and local commerce.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Oiã
Target entity description: Oiã is a civil parish in the municipality of Oliveira do Bairro in Portugal’s Aveiro District, known for its residential character and local commerce.
  • A. Oan
    Oan was the Japanese era name (nengō) used during part of the Muromachi period under the rule of shogun Ashikaga Yoshimitsu.
  • B. Laranjinha
    Laranjinha is a fast, sweeping right-hand bend on the Autódromo José Carlos Pace (Interlagos) circuit in São Paulo, Brazil, known for its challenging, high-speed nature.
  • C. Fala
    Fala is a Romance language spoken in a small area of northwestern Extremadura, Spain, closely related to Galician and Portuguese.
  • D. Timbó
    Timbó is a municipality in the state of Santa Catarina in southern Brazil, known for its strong German-Italian cultural heritage and picturesque setting in the Itajaí Valley.
  • E. Eita
    Eita is a village located on Tarawa Atoll in the Pacific island nation of Kiribati.
  • 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_69d86da882448190a82ea962fe343b79 completed April 10, 2026, 3:25 a.m.
NER Named-entity recognition batch_69e156d3cc04819097367369a78d6ef2 completed April 16, 2026, 9:38 p.m.
NED1 Entity disambiguation (via context triple) batch_69ffb5c207588190a3d17e5f09d12997 completed May 9, 2026, 10:31 p.m.
NEDg Description generation batch_69ffb706eb348190baba254656fc0e71 completed May 9, 2026, 10:36 p.m.
NED2 Entity disambiguation (via description) batch_69ffb7812bf08190918c1410565633e2 completed May 9, 2026, 10:38 p.m.
Created at: April 10, 2026, 4:53 a.m.