Triple

T17861128
Position Surface form Disambiguated ID Type / Status
Subject Sergio Oliva E446073 entity
Predicate familyName P18 FINISHED
Object Oliva 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: Oliva | Statement: [Sergio Oliva, familyName, Oliva]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Oliva
Context triple: [Sergio Oliva, familyName, Oliva]
  • A. Oliva chosen
    Oliva is the surname of Tony Oliva, a Cuban-born former Major League Baseball star known for his standout career with the Minnesota Twins.
  • B. Oliva
    Oliva is a historical locality near Gdańsk in present-day Poland, known as the site where the 1660 Treaty of Oliva was concluded, ending the Polish-Swedish War.
  • C. Oliva
    Oliva is a coastal town and popular tourist destination in the Valencian Community of eastern Spain.
  • D. La Oliva
    La Oliva is a municipality in northern Fuerteventura in Spain’s Canary Islands, known for its volcanic landscapes, dunes, and popular tourist beaches such as Corralejo.
  • E. Narón
    Narón is a municipality in the province of A Coruña in Galicia, northwestern Spain, known for its close ties to the nearby city of Ferrol and its role in the region’s industrial and service economy.
  • 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_69d8b9f26f18819089c9e43250bee6ae completed April 10, 2026, 8:50 a.m.
NER Named-entity recognition batch_69e4979013dc8190beb7718f0ba92bc3 completed April 19, 2026, 8:51 a.m.
Created at: April 10, 2026, 10:17 a.m.