Triple

T16036596
Position Surface form Disambiguated ID Type / Status
Subject The Life of Teresa of Jesus E388983 entity
Predicate setting P1957 FINISHED
Object Castile E28971 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: Castile | Statement: [The Life of Teresa of Jesus, setting, Castile]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Castile
Context triple: [The Life of Teresa of Jesus, setting, 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 (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_69d86dada3808190825d5f80d72fbe88 completed April 10, 2026, 3:25 a.m.
NER Named-entity recognition batch_69e1833ca66881909475fac23e6fbf86 completed April 17, 2026, 12:47 a.m.
NED1 Entity disambiguation (via context triple) batch_69ffdbbd605c8190ae2b1289ae9570c3 completed May 10, 2026, 1:13 a.m.
Created at: April 10, 2026, 4:56 a.m.