Triple

T8693773
Position Surface form Disambiguated ID Type / Status
Subject Rose of Saint Mary E206354 entity
Predicate alsoKnownAs P39 FINISHED
Object Santa Rosa de Lima E206353 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 Rosa de Lima | Statement: [Rose of Saint Mary, alsoKnownAs, Santa Rosa de Lima]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Santa Rosa de Lima
Context triple: [Rose of Saint Mary, alsoKnownAs, Santa Rosa de Lima]
  • A. Santa Rosa de Lima chosen
    Santa Rosa de Lima is a 17th-century Peruvian mystic and member of the Dominican Order venerated as the first canonized saint of the Americas and the patron saint of Peru and Latin America.
  • B. San Francisco de Paula
    San Francisco de Paula is a suburban district on the outskirts of Havana, Cuba, known for its association with Ernest Hemingway and his former residence, Finca Vigía.
  • C. Santo Domingo de Guzmán
    Santo Domingo de Guzmán is the capital and largest city of the Dominican Republic, serving as its political, economic, and cultural center.
  • D. San Isidro
    San Isidro is an upscale, modern district of Lima, Peru, known for its financial center, embassies, parks, and high-end residential areas.
  • E. San Isidro
    San Isidro is a coastal municipality in the province of Northern Samar in the Philippines, known for its rural communities and fishing-based local economy.
  • 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_69ca835481fc819084e33d3bc883bfa6 completed March 30, 2026, 2:06 p.m.
NER Named-entity recognition batch_69cc5826bbb48190a212fb1bb06e05e6 completed March 31, 2026, 11:26 p.m.
NED1 Entity disambiguation (via context triple) batch_69cef3f36a6081909e300f168fbcb8ac completed April 2, 2026, 10:55 p.m.
Created at: March 30, 2026, 6:33 p.m.