Triple

T11123213
Position Surface form Disambiguated ID Type / Status
Subject Amazonía Ecuatoriana E263068 entity
Predicate hasMajorCity P316 FINISHED
Object Zamora E865766 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: Zamora | Statement: [Amazonía Ecuatoriana, hasMajorCity, Zamora]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Zamora
Context triple: [Amazonía Ecuatoriana, hasMajorCity, Zamora]
  • A. Zamora
    Zamora is a city in the Mexican state of Michoacán known for its agricultural production, colonial architecture, and religious landmarks such as the Cathedral of Our Lady of Guadalupe.
  • B. Zamora chosen
    Zamora is a city in southern Ecuador that serves as the administrative and commercial center of Zamora-Chinchipe Province in the Amazonian foothills.
  • C. Zamora
    Zamora is a historic city in northwestern Spain known for its well-preserved Romanesque architecture and strategic location near the Portuguese border.
  • D. Navàs
    Navàs is a municipality in the comarca of Bages in the province of Barcelona, Catalonia, Spain.
  • E. Chichinales
    Chichinales is a small town in Argentina’s Patagonia region, located in the eastern part of Río Negro Province and known for its agricultural activity and proximity to the Alto Valle fruit-growing area.
  • 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_69d6aa9b46cc8190b19f9f0cc45bf322 completed April 8, 2026, 7:20 p.m.
NER Named-entity recognition batch_69d7e82e933481908550499cf9dd6531 completed April 9, 2026, 5:55 p.m.
NED1 Entity disambiguation (via context triple) batch_69e462f5fe708190835e427b6bf99f13 completed April 19, 2026, 5:07 a.m.
Created at: April 8, 2026, 9:28 p.m.