Triple

T15528192
Position Surface form Disambiguated ID Type / Status
Subject Calle Santiago E369136 entity
Predicate hasNameOrigin P3325 FINISHED
Object Santiago E185438 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: [Calle Santiago, hasNameOrigin, Santiago]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Santiago
Context triple: [Calle Santiago, hasNameOrigin, Santiago]
  • A. Santiago chosen
    Santiago is the Spanish name traditionally used for James the Greater, one of the Twelve Apostles of Jesus and a major figure in Christian tradition.
  • B. Santiago
    Santiago is the surname of Puerto Rican Latin trap and reggaeton artist Anuel AA, whose full name is Emmanuel Gazmey Santiago.
  • C. Santiago
    Santiago is the second-largest city in the Dominican Republic, known as a major cultural, economic, and industrial center in the Cibao region.
  • D. Santiago
    Santiago is a municipality in the Philippine province of Agusan del Norte, located on the island of Mindanao.
  • E. Santiago
    Santiago is the capital and largest city of Cape Verde, located on the island of Santiago in the central Atlantic Ocean.
  • 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_69d85a1794cc8190b0b428716296e63e completed April 10, 2026, 2:01 a.m.
NER Named-entity recognition batch_69e0414620588190958ffde651ccab5f completed April 16, 2026, 1:54 a.m.
NED1 Entity disambiguation (via context triple) batch_69ff4c2efb148190a2e6c0811f2afb5f completed May 9, 2026, 3:01 p.m.
Created at: April 10, 2026, 4:05 a.m.