Triple

T21736232
Position Surface form Disambiguated ID Type / Status
Subject Medicine Man E536530 entity
Predicate filmingLocation P40 FINISHED
Object Veracruz, Mexico 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: Veracruz, Mexico | Statement: [Medicine Man, filmingLocation, Veracruz, Mexico]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Veracruz, Mexico
Context triple: [Medicine Man, filmingLocation, Veracruz, Mexico]
  • A. Veracruz chosen
    Veracruz is a coastal state in eastern Mexico on the Gulf of Mexico, known for its major port city, rich colonial and indigenous history, and diverse geography ranging from tropical lowlands to high mountains.
  • B. Veracruz
    Veracruz is a coastal town in Panama’s Arraiján District, known for its beaches along the Pacific shoreline near Panama City.
  • C. Mocorito, Mexico
    Mocorito, Mexico is a historic town in the state of Sinaloa known for its colonial architecture, cultural traditions, and agricultural surroundings.
  • D. Vera Cruz
    Vera Cruz is a surname most notably associated with Filipino American labor leader and civil rights activist Philip Vera Cruz.
  • E. Vera Cruz
    Vera Cruz is a coastal municipality in the state of Bahia, Brazil, situated within the metropolitan area of Salvador and known for its beaches and island landscapes.
  • 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_69e0c46df5448190b4322127ffc4c690 completed April 16, 2026, 11:13 a.m.
NER Named-entity recognition batch_69effd0c0a088190bd1926fa4b73d8f4 completed April 28, 2026, 12:19 a.m.
Created at: April 16, 2026, 6:49 p.m.