Triple

T943551
Position Surface form Disambiguated ID Type / Status
Subject Moses de León E20359 entity
Predicate residence P75 FINISHED
Object Guadalajara E4336 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: Guadalajara | Statement: [Moses de León, residence, Guadalajara]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Guadalajara
Context triple: [Moses de León, residence, Guadalajara]
  • A. Guadalajara chosen
    Guadalajara is a large cultural and economic hub in western Mexico, renowned for its colonial architecture, mariachi music, and role as a major center of industry and technology.
  • B. Chihuahua City
    Chihuahua City is a major urban and industrial center in northern Mexico known for its colonial architecture, mining history, and role in the Mexican Revolution.
  • C. Monterrey
    Monterrey is a major industrial and economic hub in northeastern Mexico, known for its modern skyline, strong manufacturing base, and role as a center of business and education.
  • D. Guanajuato
    Guanajuato is a central Mexican state known for its colonial architecture, rich mining history, and vibrant cultural festivals, including the famous Cervantino Festival.
  • E. Oaxaca
    Oaxaca is a culturally rich state in southern Mexico known for its Indigenous heritage, colonial architecture, diverse cuisine, and varied geography ranging from Pacific coastlines to rugged mountain ranges.
  • 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_69ac2a0f4e088190b2fcd01e9475ff5d completed March 7, 2026, 1:37 p.m.
Created at: March 1, 2026, 7:40 p.m.