Triple

T19253476
Position Surface form Disambiguated ID Type / Status
Subject Juana Manuel of Castile E481453 entity
Predicate birthPlace P1 FINISHED
Object Castile 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: Castile | Statement: [Juana Manuel of Castile, birthPlace, Castile]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Castile
Context triple: [Juana Manuel of Castile, birthPlace, Castile]
  • A. Castile chosen
    Castile was a powerful medieval kingdom in central and northern Spain that became a core region of the emerging Spanish state and a major center of political, cultural, and religious influence in Iberia.
  • B. Castilla
    Castilla is a genus of tropical American trees in the mulberry family, best known for species that produce natural rubber.
  • C. Castilla
    Castilla was a 19th-century Spanish wooden-hulled armored frigate that served in the Spanish Navy’s Pacific operations.
  • D. Castilla
    Castilla is the reserve team of Real Madrid CF, competing in Spain’s lower professional divisions and serving as a development squad for the club’s young talents.
  • E. Castilla
    Castilla is a residential and commercial neighborhood in Madrid, Spain, known for its mix of modern developments and traditional urban character.
  • 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_69d8e8cd9d1081908a181d02b88b59b8 completed April 10, 2026, 12:10 p.m.
NER Named-entity recognition batch_69e5fb3339648190a87d38ce42aff016 completed April 20, 2026, 10:08 a.m.
Created at: April 10, 2026, 1:28 p.m.