Triple

T10122832
Position Surface form Disambiguated ID Type / Status
Subject Rodrigo de Triana E223339 entity
Predicate ship P880 FINISHED
Object La Pinta E842591 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: La Pinta | Statement: [Rodrigo de Triana, ship, La Pinta]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: La Pinta
Context triple: [Rodrigo de Triana, ship, La Pinta]
  • A. La Pinta chosen
    La Pinta was one of the three ships in Christopher Columbus’s 1492 expedition across the Atlantic, known for being the fastest of the fleet.
  • B. Caravela
    Caravela is an island in Guinea-Bissau’s Bijagós Archipelago, known for its remote, sparsely populated character and rich coastal ecosystems.
  • C. Santa María
    Santa María was the largest of the three ships used by Christopher Columbus on his first voyage across the Atlantic in 1492.
  • D. 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.
  • E. 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.
  • 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_69ca8422047c81909d66b717b8b18cf3 completed March 30, 2026, 2:09 p.m.
NER Named-entity recognition batch_69cdd26846b8819098594bf211920eb2 completed April 2, 2026, 2:20 a.m.
NED1 Entity disambiguation (via context triple) batch_69d2e5b6101081909c97956591b01af9 completed April 5, 2026, 10:44 p.m.
Created at: March 30, 2026, 9:05 p.m.