Triple

T2724068
Position Surface form Disambiguated ID Type / Status
Subject Loretto Chapel E60148 entity
Predicate location P40 FINISHED
Object Santa Fe, New Mexico E8570 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 Fe, New Mexico | Statement: [Loretto Chapel, location, Santa Fe, New Mexico]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Santa Fe, New Mexico
Context triple: [Loretto Chapel, location, Santa Fe, New Mexico]
  • A. Santa Fe, New Mexico chosen
    Santa Fe, New Mexico is the capital city of New Mexico, renowned for its Pueblo-style architecture, vibrant arts scene, and rich blend of Native American, Hispanic, and Anglo cultures.
  • B. Santa Fe
    Santa Fe is a major modern business and financial district in western Mexico City known for its corporate offices, upscale shopping centers, and contemporary high-rise architecture.
  • C. Santa Fe
    Santa Fe is a town on Cuba’s Isla de la Juventud, known as one of the island’s principal local settlements.
  • D. Santa Fe
    Santa Fe is a historic Argentine city and provincial capital known for its colonial heritage and strategic location on the Paraná River.
  • E. Santa Fe
    Santa Fe is a coastal municipality on Bantayan Island in Cebu, Philippines, known for its white-sand beaches and laid-back island atmosphere.
  • 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_69ab4b746d248190958e052045c09255 completed March 6, 2026, 9:47 p.m.
NER Named-entity recognition batch_69abdacc0a6881909b64a4d22e1d7690 completed March 7, 2026, 7:59 a.m.
NED1 Entity disambiguation (via context triple) batch_69b367e000dc8190baba64c6e8ccf308 completed March 13, 2026, 1:26 a.m.
Created at: March 6, 2026, 9:55 p.m.