Triple

T3888405
Position Surface form Disambiguated ID Type / Status
Subject Corisco E87999 entity
Predicate partOf P40 FINISHED
Object Litoral Province E264361 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: Litoral Province | Statement: [Corisco, partOf, Litoral Province]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Litoral Province
Context triple: [Corisco, partOf, Litoral Province]
  • A. Arturo Prat Province
    Arturo Prat Province is an administrative division in Chile named in honor of the national naval hero Arturo Prat Chacón.
  • B. Provincia Oriental
    Provincia Oriental was the historical name for the eastern province of the Río de la Plata region, corresponding largely to present-day Uruguay during the early 19th century.
  • C. Santa Elena Province chosen
    Santa Elena Province is a coastal province in western Ecuador known for its beaches, tourism, and location on the Santa Elena Peninsula along the Pacific Ocean.
  • D. Santa Cruz Province
    Santa Cruz Province is a sparsely populated region in southern Argentina known for its Patagonian landscapes, including glaciers, mountains, and national parks.
  • E. Santiago del Estero Province
    Santiago del Estero Province is a landlocked region in northern Argentina known for its hot, semi-arid climate, historic colonial city of Santiago del Estero, and strong folkloric music traditions.
  • 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_69aed9466d548190939f5217a23ed4ac completed March 9, 2026, 2:29 p.m.
NER Named-entity recognition batch_69aeecad4bf081909ae45a69d22468fa completed March 9, 2026, 3:52 p.m.
NED1 Entity disambiguation (via context triple) batch_69b51c8f299c8190a6a53ec59837b402 completed March 14, 2026, 8:30 a.m.
Created at: March 9, 2026, 3:21 p.m.