Triple

T206643
Position Surface form Disambiguated ID Type / Status
Subject Treaty of Tordesillas E4622 entity
Predicate namedAfter P63 FINISHED
Object Tordesillas E26344 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: Tordesillas | Statement: [Treaty of Tordesillas, namedAfter, Tordesillas]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Tordesillas
Context triple: [Treaty of Tordesillas, namedAfter, Tordesillas]
  • A. Tordesillas chosen
    Tordesillas is a historic town in northwestern Spain best known as the site where Spain and Portugal signed the Treaty of Tordesillas in 1494, dividing newly discovered lands outside Europe between them.
  • B. Treaty of Tordesillas
    The Treaty of Tordesillas was a 1494 agreement between Spain and Portugal, brokered by the papacy, that divided newly discovered lands outside Europe between the two powers and shaped the colonial map of the Americas and beyond.
  • C. Barra
    Barra is a scenic island in the Outer Hebrides of Scotland, known for its rugged coastline, Gaelic culture, and the unique beach runway at Barra Airport.
  • D. Barra
    Barra is the surname of Mary Barra, the prominent American business executive and CEO of General Motors.
  • E. Iberia
    Iberia is the flag carrier airline of Spain, operating an extensive network of domestic and international flights, particularly linking Europe with Latin America.
  • 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_69a25737567c81908f9c505300239181 completed Feb. 28, 2026, 2:47 a.m.
NER Named-entity recognition batch_69a25c0601bc81909a268ca9e751d5bb completed Feb. 28, 2026, 3:07 a.m.
NED1 Entity disambiguation (via context triple) batch_69a32f29799c8190a445a231006bf436 completed Feb. 28, 2026, 6:08 p.m.
Created at: Feb. 28, 2026, 2:51 a.m.