Triple

T9158235
Position Surface form Disambiguated ID Type / Status
Subject fourth voyage of Christopher Columbus E219757 entity
Predicate shipUsed P880 FINISHED
Object Gallega
Gallega was one of the ships in Christopher Columbus’s final transatlantic expedition, the fourth voyage undertaken to explore parts of Central and South America.
 E782748 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: Gallega | Statement: [fourth voyage of Christopher Columbus, shipUsed, Gallega]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Gallega
Context triple: [fourth voyage of Christopher Columbus, shipUsed, Gallega]
  • A. Liria
    Liria is a historic town in the Valencian Community of Spain, known for its ancient Iberian and Roman heritage and its role as a noble title’s namesake.
  • B. Tasqueña
    Tasqueña is a major transit hub and southern terminus of Mexico City’s Metro Line 2, integrating metro, light rail, and bus services.
  • C. Garnata
    Garnata is an alternate transliteration of "Gharnāṭa," the Arabic name historically used for the city of Granada in Spain.
  • D. Azaña
    Azaña is the surname of Manuel Azaña, a prominent Spanish politician and writer who served as President of the Second Spanish Republic.
  • E. Olmedo
    Olmedo is a small town in the Gallura region of northern Sardinia, Italy, known for its rural character and traditional Sardinian culture.
  • 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: Gallega
Triple: [fourth voyage of Christopher Columbus, shipUsed, Gallega]
Generated description
Gallega was one of the ships in Christopher Columbus’s final transatlantic expedition, the fourth voyage undertaken to explore parts of Central and South America.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Gallega
Target entity description: Gallega was one of the ships in Christopher Columbus’s final transatlantic expedition, the fourth voyage undertaken to explore parts of Central and South America.
  • A. Liria
    Liria is a historic town in the Valencian Community of Spain, known for its ancient Iberian and Roman heritage and its role as a noble title’s namesake.
  • B. Tasqueña
    Tasqueña is a major transit hub and southern terminus of Mexico City’s Metro Line 2, integrating metro, light rail, and bus services.
  • C. Garnata
    Garnata is an alternate transliteration of "Gharnāṭa," the Arabic name historically used for the city of Granada in Spain.
  • D. Azaña
    Azaña is the surname of Manuel Azaña, a prominent Spanish politician and writer who served as President of the Second Spanish Republic.
  • E. Olmedo
    Olmedo is a small town in the Gallura region of northern Sardinia, Italy, known for its rural character and traditional Sardinian culture.
  • F. None of above. chosen

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_69ca83e25418819093c6503deeaf30de completed March 30, 2026, 2:08 p.m.
NER Named-entity recognition batch_69cca9d6b9ac819094efe12c1ed67ecf completed April 1, 2026, 5:15 a.m.
NED1 Entity disambiguation (via context triple) batch_69d05468843481908a1f17219a1bfc79 completed April 3, 2026, 11:59 p.m.
NEDg Description generation batch_69d0554fda40819083ef2d13d6fba905 completed April 4, 2026, 12:03 a.m.
NED2 Entity disambiguation (via description) batch_69d055ca4fc08190b30e1b31ded51189 completed April 4, 2026, 12:05 a.m.
Created at: March 30, 2026, 7:21 p.m.