Triple

T16347634
Position Surface form Disambiguated ID Type / Status
Subject Nao Victoria E396973 entity
Predicate otherShipsInFleet P20629 FINISHED
Object Santiago
Santiago was one of the companion ships in Ferdinand Magellan’s expedition fleet during the first circumnavigation of the globe.
E19039 NE FINISHED

How this triple was built (4 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: [Nao Victoria, otherShipsInFleet, Santiago]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Santiago
Context triple: [Nao Victoria, otherShipsInFleet, Santiago]
  • A. Santiago
    Santiago is the capital and primary economic, political, and cultural center of Chile, located in the country’s central valley.
  • B. Santiago
    Santiago is the aging Cuban fisherman and stoic protagonist of Ernest Hemingway’s novella *The Old Man and the Sea*, known for his endurance, dignity, and struggle against a giant marlin.
  • C. 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.
  • D. Santiago
    Santiago is the young Andalusian shepherd and spiritual seeker who serves as the protagonist of Paulo Coelho’s novel "The Alchemist."
  • 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. chosen
  • G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg Description generation gpt-5.1
Instruction
Generate a one-sentence description of the target entity. 
You are given a context triple in the form (subject, predicate, object), where the object is the target entity. 
# Instructions
Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. 
Avoid repeating the information from the triple, unless really essential.
# Response Format
Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Santiago
Triple: [Nao Victoria, otherShipsInFleet, Santiago]
Generated description
Santiago was one of the companion ships in Ferdinand Magellan’s expedition fleet during the first circumnavigation of the globe.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Santiago
Target entity description: Santiago was one of the companion ships in Ferdinand Magellan’s expedition fleet during the first circumnavigation of the globe.
  • A. Santiago chosen
    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
    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.
  • C. Santiago
    Santiago is a common Spanish given name, historically associated with Saint James and widely used across the Spanish-speaking world.
  • D. Santiago
    Santiago is a common Spanish given name used across many Spanish-speaking countries and cultures.
  • E. Santiago
    Santiago is a common Spanish-origin surname widely found in the Spanish-speaking world and among people of Hispanic heritage.
  • F. None of above.

Provenance (5 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_69d87f26864c819088365ca381a003c2 completed April 10, 2026, 4:40 a.m.
NER Named-entity recognition batch_69e2da1038d88190b8292cfe71bc4f2a completed April 18, 2026, 1:10 a.m.
NED1 Entity disambiguation (via context triple) batch_6a006ecc2b4c8190ac9654ac826f198e completed May 10, 2026, 11:41 a.m.
NEDg Description generation batch_6a006f9043b8819086143b2ec0cf1657 completed May 10, 2026, 11:44 a.m.
NED2 Entity disambiguation (via description) batch_6a00701fc1848190b3248a70b462eab1 completed May 10, 2026, 11:46 a.m.
Created at: April 10, 2026, 5:07 a.m.