Triple

T9139936
Position Surface form Disambiguated ID Type / Status
Subject La Gallega E219298 entity
Predicate alsoKnownAs P39 FINISHED
Object Santa María
Santa María, originally named La Gallega, was Christopher Columbus’s flagship on his first voyage across the Atlantic in 1492.
 E42362 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: Santa María | Statement: [La Gallega, alsoKnownAs, Santa María]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Santa María
Context triple: [La Gallega, alsoKnownAs, Santa María]
  • A. Santa María
    Santa María was the largest of the three ships used by Christopher Columbus on his first voyage across the Atlantic in 1492.
  • B. Santa María
    Santa María is a town in northwestern Argentina known as an agricultural and archaeological center in the Calchaquí Valley region of Catamarca Province.
  • C. Santa María
    Santa María is a large stratovolcano in Guatemala known for its catastrophic 1902 eruption and ongoing activity at its Santiaguito lava dome complex.
  • D. Santa María
    Santa María is a small Chilean city and commune located in the Valparaíso Region, known for its agricultural activity within the Aconcagua Valley.
  • E. Santa Maria
    Santa Maria is a coastal town on the southern tip of Sal Island in Cape Verde, known for its sandy beaches, tourism, and water sports.
  • 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: Santa María
Triple: [La Gallega, alsoKnownAs, Santa María]
Generated description
Santa María, originally named La Gallega, was Christopher Columbus’s flagship on his first voyage across the Atlantic in 1492.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Santa María
Target entity description: Santa María, originally named La Gallega, was Christopher Columbus’s flagship on his first voyage across the Atlantic in 1492.
  • A. Santa María chosen
    Santa María was the largest of the three ships used by Christopher Columbus on his first voyage across the Atlantic in 1492.
  • B. Santa María
    Santa María is a town in northwestern Argentina known as an agricultural and archaeological center in the Calchaquí Valley region of Catamarca Province.
  • C. Santa María
    Santa María is a large stratovolcano in Guatemala known for its catastrophic 1902 eruption and ongoing activity at its Santiaguito lava dome complex.
  • D. Santa María
    Santa María is a small Chilean city and commune located in the Valparaíso Region, known for its agricultural activity within the Aconcagua Valley.
  • E. Santa Maria
    Santa Maria is a title for the Virgin Mary, the mother of Jesus in Christian tradition and a central figure of veneration in the Catholic Church.
  • 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_69ca83e012288190a5771058adbaabd2 completed March 30, 2026, 2:08 p.m.
NER Named-entity recognition batch_69cca8f2537881908956a9b0516e2d49 completed April 1, 2026, 5:11 a.m.
NED1 Entity disambiguation (via context triple) batch_69d0545584e08190bda111f2c6163a4a completed April 3, 2026, 11:59 p.m.
NEDg Description generation batch_69d0553c2b58819086a651863f884064 completed April 4, 2026, 12:03 a.m.
NED2 Entity disambiguation (via description) batch_69d0562e41bc8190801c75e962600df2 completed April 4, 2026, 12:07 a.m.
Created at: March 30, 2026, 7:19 p.m.