Triple

T9708611
Position Surface form Disambiguated ID Type / Status
Subject Juan de la Cosa E234961 entity
Predicate shipOwnedOrCommanded P90806 FINISHED
Object Santa María E42362 NE FINISHED

How this triple was built (3 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: [Juan de la Cosa, shipOwnedOrCommanded, Santa María]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Santa María
Context triple: [Juan de la Cosa, shipOwnedOrCommanded, Santa María]
  • 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 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.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: shipOwnedOrCommanded
Context triple: [Juan de la Cosa, shipOwnedOrCommanded, Santa María]
  • A. commissionedShip
    Indicates that a ship has been formally placed into active service, typically following its construction or acquisition.
  • B. shipUsed
    Indicates that a particular ship was employed or utilized in carrying out an event, activity, or operation.
  • C. shipRepresents
    Indicates that one entity (typically a ship) serves as a symbol, stand-in, or representation for another entity, concept, or group.
  • D. fleetFlagshipOf
    Indicates that one entity serves as the primary or leading flagship of a particular fleet.
  • E. shipsWith
    Indicates that one entity is delivered, packaged, or provided together with another entity as part of the same shipment or bundle.
  • 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_69ca84cc78808190a56f3402b7c139a7 completed March 30, 2026, 2:12 p.m.
NER Named-entity recognition batch_69cd9da7c6188190b086f7e411378268 completed April 1, 2026, 10:35 p.m.
NED1 Entity disambiguation (via context triple) batch_69d19f8476e08190865700679069dee6 completed April 4, 2026, 11:32 p.m.
PD Predicate disambiguation batch_69cd03b641408190942464eaf174c6b5 completed April 1, 2026, 11:38 a.m.
PDg Predicate description generation batch_69cd081a9c5c819093439be7e802ff85 completed April 1, 2026, 11:57 a.m.
Created at: March 30, 2026, 8:19 p.m.