Triple

T6632195
Position Surface form Disambiguated ID Type / Status
Subject Piauí E149952 entity
Predicate hasCity P316 FINISHED
Object Piripiri
Piripiri is a municipality in the Brazilian state of Piauí, known for its regional commerce and proximity to natural attractions such as the Sete Cidades National Park.
E598852 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: Piripiri | Statement: [Piauí, hasCity, Piripiri]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Piripiri
Context triple: [Piauí, hasCity, Piripiri]
  • A. Jipijapa
    Jipijapa is a city in coastal Ecuador known historically for its production of Panama hats and its agricultural economy.
  • B. Cáqueza
    Cáqueza is a small municipality and town in the Andean region of central Colombia, known for its rural landscapes and proximity to Bogotá in the department of Cundinamarca.
  • C. Pipiriki
    Pipiriki is a small rural settlement in New Zealand’s central North Island, known as a gateway to the Whanganui River and Whanganui National Park.
  • D. Pochuteco
    Pochuteco is an extinct Uto-Aztecan language once spoken in the region of Pochutla on the Pacific coast of Oaxaca, Mexico.
  • E. Guagua
    Guagua is a municipality in the province of Pampanga in the Philippines, known historically as a riverside trading town.
  • 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: Piripiri
Triple: [Piauí, hasCity, Piripiri]
Generated description
Piripiri is a municipality in the Brazilian state of Piauí, known for its regional commerce and proximity to natural attractions such as the Sete Cidades National Park.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Piripiri
Target entity description: Piripiri is a municipality in the Brazilian state of Piauí, known for its regional commerce and proximity to natural attractions such as the Sete Cidades National Park.
  • A. Jipijapa
    Jipijapa is a city in coastal Ecuador known historically for its production of Panama hats and its agricultural economy.
  • B. Cáqueza
    Cáqueza is a small municipality and town in the Andean region of central Colombia, known for its rural landscapes and proximity to Bogotá in the department of Cundinamarca.
  • C. Pipiriki
    Pipiriki is a small rural settlement in New Zealand’s central North Island, known as a gateway to the Whanganui River and Whanganui National Park.
  • D. Pochuteco
    Pochuteco is an extinct Uto-Aztecan language once spoken in the region of Pochutla on the Pacific coast of Oaxaca, Mexico.
  • E. Guagua
    Guagua is a municipality in the province of Pampanga in the Philippines, known historically as a riverside trading town.
  • 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_69c687ee50048190aa151765bef16193 completed March 27, 2026, 1:36 p.m.
NER Named-entity recognition batch_69c6afc9138c81909d228ce4936d6b8b completed March 27, 2026, 4:26 p.m.
NED1 Entity disambiguation (via context triple) batch_69c6cbf329f08190a3f29c4d4c6aa136 completed March 27, 2026, 6:26 p.m.
NEDg Description generation batch_69c6cd0bb0e48190ae51fde4b4631f65 completed March 27, 2026, 6:31 p.m.
NED2 Entity disambiguation (via description) batch_69c6cd90b9208190b4c5bf44db073314 completed March 27, 2026, 6:33 p.m.
Created at: March 27, 2026, 1:59 p.m.