Triple

T943530
Position Surface form Disambiguated ID Type / Status
Subject Moses de León E20359 entity
Predicate placeOfBirth P1 FINISHED
Object León E49458 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: León | Statement: [Moses de León, placeOfBirth, León]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: León
Context triple: [Moses de León, placeOfBirth, León]
  • A. 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.
  • B. 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.
  • C. Astorga
    Astorga is a historic city in the province of León, Spain, known for its Roman heritage, medieval cathedral, and a Modernist Episcopal Palace designed by Antoni Gaudí.
  • D. San Sebastián de los Reyes
    San Sebastián de los Reyes is a municipality in central Spain known for its proximity to Madrid and its traditional bull-running festivities.
  • E. Aranjuez
    Aranjuez is a historic town in central Spain renowned for its royal palace, extensive gardens, and cultural heritage, and is located within the Community of Madrid.
  • 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_69a493b0270c81909e6c9ce310f6aa55 completed March 1, 2026, 7:29 p.m.
NER Named-entity recognition batch_69a4b3a2b1ec8190a2753ad3b3e8cc7a completed March 1, 2026, 9:46 p.m.
NED1 Entity disambiguation (via context triple) batch_69ad0e5948bc819085b3a68784e520c5 completed March 8, 2026, 5:51 a.m.
Created at: March 1, 2026, 7:40 p.m.