Triple

T1996245
Position Surface form Disambiguated ID Type / Status
Subject Niña E43364 entity
Predicate category P87 FINISHED
Object Christopher Columbus ships E42362 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: Christopher Columbus ships | Statement: [Niña, category, Christopher Columbus ships]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Christopher Columbus ships
Context triple: [Niña, category, Christopher Columbus ships]
  • 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. Spanish training ship Juan Sebastián de Elcano
    The Spanish training ship Juan Sebastián de Elcano is a historic four-masted topsail schooner used by the Spanish Navy as a sail training vessel for officer cadets and international goodwill voyages.
  • 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_69a88714cf2c819081644be450b8356e completed March 4, 2026, 7:25 p.m.
NER Named-entity recognition batch_69abb8666b14819084374b84b65c6c74 completed March 7, 2026, 5:32 a.m.
NED1 Entity disambiguation (via context triple) batch_69ae033e733c8190aa11e316e01dbd17 completed March 8, 2026, 11:16 p.m.
Created at: March 4, 2026, 7:37 p.m.