Triple

T1294689
Position Surface form Disambiguated ID Type / Status
Subject Santa Barbara County E27627 entity
Predicate containsCity P294 FINISHED
Object Santa Maria E147373 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 Maria | Statement: [Santa Barbara County, containsCity, Santa Maria]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Santa Maria
Context triple: [Santa Barbara County, containsCity, Santa Maria]
  • A. Santa Maria chosen
    Santa Maria is a city in California’s Central Coast region known for its agriculture, wine industry, and distinctive Santa Maria–style barbecue.
  • B. Santa María
    Santa María was the largest of the three ships used by Christopher Columbus on his first voyage across the Atlantic in 1492.
  • C. 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.
  • D. 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.
  • 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_69a496d6682881909ba658f1c1e0e2b0 completed March 1, 2026, 7:43 p.m.
NER Named-entity recognition batch_69a4c0f2eb608190a0ac47a73adae19b completed March 1, 2026, 10:42 p.m.
NED1 Entity disambiguation (via context triple) batch_69acb300d3a0819081a9d19ea1fbdfe2 completed March 7, 2026, 11:21 p.m.
Created at: March 1, 2026, 7:51 p.m.