Triple

T22664206
Position Surface form Disambiguated ID Type / Status
Subject Nizao, Dominican Republic E559739 entity
Predicate hasDemonym P191 FINISHED
Object Nizaera
Nizaera is the Spanish demonym used to refer to a female resident or native of Nizao in the Dominican Republic.
 E1549683 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: Nizaera | Statement: [Nizao, Dominican Republic, hasDemonym, Nizaera]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Nizaera
Context triple: [Nizao, Dominican Republic, hasDemonym, Nizaera]
  • A. Nizaero
    Nizaero is the demonym for residents or natives of Nizao, a municipality in the Dominican Republic.
  • B. Naju
    Naju is a historic city in South Korea known for its pear cultivation and location in the southwestern province of South Jeolla.
  • C. Nisseni
    Nisseni are the inhabitants or natives of Caltanissetta, a city in central Sicily, Italy.
  • D. Nasazzi
    Nasazzi is a Uruguayan surname best known from José Nasazzi, the legendary early 20th-century footballer who captained Uruguay to Olympic and inaugural World Cup titles.
  • E. Nagô
    Nagô refers to Yoruba-speaking African people and their descendants in Brazil, who played a central role in Afro-Brazilian religious and cultural traditions and in resistance movements such as the Malê revolt.
  • 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: Nizaera
Triple: [Nizao, Dominican Republic, hasDemonym, Nizaera]
Generated description
Nizaera is the Spanish demonym used to refer to a female resident or native of Nizao in the Dominican Republic.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Nizaera
Target entity description: Nizaera is the Spanish demonym used to refer to a female resident or native of Nizao in the Dominican Republic.
  • A. Nizaero chosen
    Nizaero is the demonym for residents or natives of Nizao, a municipality in the Dominican Republic.
  • B. Naju
    Naju is a historic city in South Korea known for its pear cultivation and location in the southwestern province of South Jeolla.
  • C. Nisseni
    Nisseni are the inhabitants or natives of Caltanissetta, a city in central Sicily, Italy.
  • D. Nasazzi
    Nasazzi is a Uruguayan surname best known from José Nasazzi, the legendary early 20th-century footballer who captained Uruguay to Olympic and inaugural World Cup titles.
  • E. Nagô
    Nagô refers to Yoruba-speaking African people and their descendants in Brazil, who played a central role in Afro-Brazilian religious and cultural traditions and in resistance movements such as the Malê revolt.
  • F. None of above.

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_69e2454a158c819093b8e35f5045efb6 completed April 17, 2026, 2:35 p.m.
NER Named-entity recognition batch_69f176617ed8819095a58a2c9f1e3918 completed April 29, 2026, 3:09 a.m.
NED1 Entity disambiguation (via context triple) batch_6a0b7ec593f0819081a3f8e56a9f1e1f completed May 18, 2026, 9:04 p.m.
NEDg Description generation batch_6a0b803e725081908e23dbe3da3622ab completed May 18, 2026, 9:10 p.m.
NED2 Entity disambiguation (via description) batch_6a0b80e09d2081908400cc978d76a4a1 completed May 18, 2026, 9:13 p.m.
Created at: April 17, 2026, 3:08 p.m.