Triple

T15016577
Position Surface form Disambiguated ID Type / Status
Subject Requetés E377973 entity
Predicate regionOfRecruitment P24725 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: [Requetés, regionOfRecruitment, Castile]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Castile
Context triple: [Requetés, regionOfRecruitment, 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 is a residential and commercial neighborhood in Madrid, Spain, known for its mix of modern developments and traditional urban character.
  • D. Castilla
    Castilla was a 19th-century Spanish wooden-hulled armored frigate that served in the Spanish Navy’s Pacific operations.
  • E. Castilla
    Castilla is a Spanish surname of likely toponymic origin, associated with the historical region of Castile in Spain.
  • 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_69d85cd3a3c881908c71fc424d459c17 completed April 10, 2026, 2:13 a.m.
NER Named-entity recognition batch_69ded7633fcc8190b2231f43252bc46f completed April 15, 2026, 12:10 a.m.
NED1 Entity disambiguation (via context triple) batch_69fed31c0ab08190814c41d852f9f523 completed May 9, 2026, 6:24 a.m.
Created at: April 10, 2026, 2:55 a.m.