Triple

T6070534
Position Surface form Disambiguated ID Type / Status
Subject Combarbalite E135268 entity
Predicate associatedWith P37 FINISHED
Object Combarbalá E25190 NE FINISHED

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: Combarbalá | Statement: [Combarbalite, associatedWith, Combarbalá]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Combarbalá
Context triple: [Combarbalite, associatedWith, Combarbalá]
  • A. Combarbalá chosen
    Combarbalá is a small Chilean town and municipality in the Coquimbo Region, known for its semi-arid landscapes, goat farming, and distinctive combarbalite stone crafts.
  • B. Caxangá
    Caxangá is a neighborhood and important urban area within the city of Recife, Brazil.
  • C. Ciluba
    Ciluba is a Bantu language spoken primarily in the Democratic Republic of the Congo, especially in the Kasai region.
  • D. Corumbá
    Corumbá is a Brazilian city in the state of Mato Grosso do Sul, known as a key gateway to the Pantanal wetlands and an important regional center for river trade and ecotourism.
  • E. Barajagua
    Barajagua is a locality within Cueto Municipality in Holguín Province, Cuba, known as a small rural community in the eastern part of the country.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (3 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_69c00879e8048190b690717d19c5bc03 completed March 22, 2026, 3:19 p.m.
NER Named-entity recognition batch_69c05742867481908e3f45c875807c73 completed March 22, 2026, 8:55 p.m.
NED1 Entity disambiguation (via context triple) batch_69c1414ea324819087dc9267938efb5c completed March 23, 2026, 1:34 p.m.
Created at: March 22, 2026, 4:10 p.m.