Triple

T20990184
Position Surface form Disambiguated ID Type / Status
Subject Oliwa Cathedral E516999 entity
Predicate locatedIn P40 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: [Oliwa Cathedral, locatedIn, Oliva]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Oliva
Context triple: [Oliwa Cathedral, locatedIn, Oliva]
  • A. Oliva chosen
    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.
  • B. Oliva
    Oliva is a coastal town and popular tourist destination in the Valencian Community of eastern Spain.
  • C. Oliva
    Oliva is the surname of Tony Oliva, a Cuban-born former Major League Baseball star known for his standout career with the Minnesota Twins.
  • 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_69e0b4ffac148190bbade9f0eceb660b completed April 16, 2026, 10:07 a.m.
NER Named-entity recognition batch_69e6fbe5f49c8190a5c031eceba9ebf7 completed April 21, 2026, 4:24 a.m.
Created at: April 16, 2026, 1:49 p.m.