Triple

T15628454
Position Surface form Disambiguated ID Type / Status
Subject Castilla elastica E375745 entity
Predicate genus P87 FINISHED
Object Castilla E77154 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: Castilla | Statement: [Castilla elastica, genus, Castilla]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Castilla
Context triple: [Castilla elastica, genus, Castilla]
  • A. Castilla
    Castilla is a residential and commercial neighborhood in Madrid, Spain, known for its mix of modern developments and traditional urban character.
  • B. Castilla chosen
    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 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_69d85cd035a48190b73d5579ab73969a completed April 10, 2026, 2:13 a.m.
NER Named-entity recognition batch_69e04eb4301881908c7157227fdf79b6 completed April 16, 2026, 2:51 a.m.
NED1 Entity disambiguation (via context triple) batch_69ffbe6287f48190a54d0d029dc503f8 completed May 9, 2026, 11:08 p.m.
Created at: April 10, 2026, 4:14 a.m.