Triple

T14116152
Position Surface form Disambiguated ID Type / Status
Subject Jesús López-Cobos E339781 entity
Predicate placeOfBirth P1 FINISHED
Object Toro, Zamora E296219 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: Toro, Zamora | Statement: [Jesús López-Cobos, placeOfBirth, Toro, Zamora]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Toro, Zamora
Context triple: [Jesús López-Cobos, placeOfBirth, Toro, Zamora]
  • A. Toro, Zamora, Spain chosen
    Toro, in the province of Zamora in Spain’s Castile and León region, is a historic hilltop town known for its medieval architecture, strategic location above the Duero River, and long tradition of wine production.
  • B. Zamora
    Zamora is a historic city in northwestern Spain known for its well-preserved Romanesque architecture and strategic location near the Portuguese border.
  • C. Zamora
    Zamora is a city in southern Ecuador that serves as the administrative and commercial center of Zamora-Chinchipe Province in the Amazonian foothills.
  • D. 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.
  • E. Molinero
    Molinero is a Spanish surname that corresponds to the German surname Müller, both historically referring to the occupation of a miller.
  • 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_69d81c6a95b481909e39111e0c1f31ee completed April 9, 2026, 9:38 p.m.
NER Named-entity recognition batch_69de6010a03c81909f5f160f8d1fa8fa completed April 14, 2026, 3:41 p.m.
NED1 Entity disambiguation (via context triple) batch_69fcd0baa328819099511dfa7b9666d3 completed May 7, 2026, 5:49 p.m.
Created at: April 9, 2026, 10:22 p.m.