Triple

T12241547
Position Surface form Disambiguated ID Type / Status
Subject Santa María Department E291742 entity
Predicate capital P234 FINISHED
Object Santa María E58590 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: Santa María | Statement: [Santa María Department, capital, Santa María]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Santa María
Context triple: [Santa María Department, capital, 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 chosen
    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.
  • 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_69d6ab67950c8190be08450a06228c4b completed April 8, 2026, 7:24 p.m.
NER Named-entity recognition batch_69d91cb59ce4819099999b8755fb8b98 completed April 10, 2026, 3:52 p.m.
NED1 Entity disambiguation (via context triple) batch_69f60ab5a404819089f9ea868deda10c completed May 2, 2026, 2:31 p.m.
Created at: April 8, 2026, 9:51 p.m.