Triple

T11962899
Position Surface form Disambiguated ID Type / Status
Subject San Pablo–Los Dominicos E284713 entity
Predicate servesCity P82 FINISHED
Object Santiago E112115 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: Santiago | Statement: [San Pablo–Los Dominicos, servesCity, Santiago]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Santiago
Context triple: [San Pablo–Los Dominicos, servesCity, Santiago]
  • A. Santiago
    Santiago was one of the smaller support vessels in Ferdinand Magellan’s early 16th-century expedition to circumnavigate the globe, primarily used for scouting and exploration along the South American coast.
  • B. Santiago chosen
    Santiago is the largest and most populous island of Cape Verde, home to the nation’s capital city, Praia, and its main political and economic activities.
  • C. Santiago
    Santiago is a common Spanish given name used across many Spanish-speaking countries and cultures.
  • D. Santiago
    Santiago is a charismatic bohemian performer and friend of Christian in *Moulin Rouge! The Musical*, contributing comic relief, passion, and artistic flair to the story.
  • E. Santiago
    Santiago is the young Andalusian shepherd and spiritual seeker who serves as the protagonist of Paulo Coelho’s novel "The Alchemist."
  • 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_69d6ab2eaeb881909f7914758f859413 completed April 8, 2026, 7:23 p.m.
NER Named-entity recognition batch_69d9037848f481908276716675464464 completed April 10, 2026, 2:04 p.m.
NED1 Entity disambiguation (via context triple) batch_69f471d625c88190baed4ea08853988a completed May 1, 2026, 9:26 a.m.
Created at: April 8, 2026, 9:45 p.m.