Triple

T22643157
Position Surface form Disambiguated ID Type / Status
Subject Festival de Inverno de Garanhuns E558885 entity
Predicate locatedIn P40 FINISHED
Object Garanhuns NE NERFINISHED

How this triple was built (2 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: Garanhuns | Statement: [Festival de Inverno de Garanhuns, locatedIn, Garanhuns]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Garanhuns
Context triple: [Festival de Inverno de Garanhuns, locatedIn, Garanhuns]
  • A. Garanhuns chosen
    Garanhuns is a city in northeastern Brazil known for its mild climate, hilly terrain, and popular winter music festival.
  • B. Chogoria
    Chogoria is a town in Kenya that serves as a popular gateway and access point for climbers and trekkers heading to Mount Kenya, particularly via the Chogoria route to Point Lenana.
  • C. Sangalhos
    Sangalhos is a civil parish in the municipality of Anadia, located in Portugal’s Aveiro District and known for its wine production and local sports traditions.
  • D. Tankara
    Tankara is a town in the Morbi district of Gujarat, India, known as the birthplace of the social reformer Swaminarayan.
  • E. Uruca
    Uruca is a district of San José, Costa Rica, known as an important industrial and commercial area within the capital.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 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_69e24547f7fc819086e2c4ba3b979657 completed April 17, 2026, 2:35 p.m.
NER Named-entity recognition batch_69f1703577948190ae044df4f8500bfe completed April 29, 2026, 2:43 a.m.
Created at: April 17, 2026, 3:05 p.m.