Triple

T21254739
Position Surface form Disambiguated ID Type / Status
Subject De Leon E523837 entity
Predicate isDerivedFrom P909 FINISHED
Object León (province in Spain) 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: León (province in Spain) | Statement: [De Leon, isDerivedFrom, León (province in Spain)]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: León (province in Spain)
Context triple: [De Leon, isDerivedFrom, León (province in Spain)]
  • A. León
    León is a historic city in western Nicaragua known for its colonial architecture, vibrant cultural life, and role as an intellectual and political center of the country.
  • B. León
    León is a major industrial and commercial city in central Mexico, renowned especially for its leather and footwear production.
  • C. León chosen
    León is a historic city and former kingdom in northwestern Spain, renowned for its medieval architecture and significant role in the formation of the Spanish state.
  • D. León
    León is a masculine given name of Spanish origin, commonly used in Spanish-speaking countries and derived from the word for "lion."
  • E. León
    León is a historic and successful Mexican professional football club known for its multiple Liga MX titles and passionate fan base.
  • 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_69e0b5146c108190adc9adb73e90abff completed April 16, 2026, 10:08 a.m.
NER Named-entity recognition batch_69e735a0e7dc8190b591b5b6786ce619 completed April 21, 2026, 8:30 a.m.
Created at: April 16, 2026, 3:57 p.m.