Triple

T13099881
Position Surface form Disambiguated ID Type / Status
Subject Universidad Iberoamericana León E310689 entity
Predicate abbreviation P43 FINISHED
Object IBERO León E248688 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: IBERO León | Statement: [Universidad Iberoamericana León, abbreviation, IBERO León]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: IBERO León
Context triple: [Universidad Iberoamericana León, abbreviation, IBERO León]
  • 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 chosen
    León is a major industrial and commercial city in central Mexico, renowned especially for its leather and footwear production.
  • C. León
    León is a masculine given name of Spanish origin, commonly used in Spanish-speaking countries and derived from the word for "lion."
  • D. León
    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.
  • 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 (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_69d806a872d08190a329806f8ff30df4 completed April 9, 2026, 8:06 p.m.
NER Named-entity recognition batch_69d981500d34819097037b3c3c33627b completed April 10, 2026, 11:01 p.m.
NED1 Entity disambiguation (via context triple) batch_69f6d61bcfe88190866b4330d1669602 completed May 3, 2026, 4:59 a.m.
Created at: April 9, 2026, 9:04 p.m.