Triple

T11767347
Position Surface form Disambiguated ID Type / Status
Subject Crown of Spain E279815 entity
Predicate hasPart P35 FINISHED
Object Puerto Rico E338 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: Puerto Rico | Statement: [Crown of Spain, hasPart, Puerto Rico]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Puerto Rico
Context triple: [Crown of Spain, hasPart, Puerto Rico]
  • A. Puerto Rico chosen
    Puerto Rico is a Caribbean island and unincorporated U.S. territory known for its Spanish-Caribbean culture, tropical climate, and status as a popular tourist destination.
  • B. Puerto Rico
    Puerto Rico is a municipality in Colombia’s Caquetá Department, located in the Amazonian foothills and known for its agricultural and cattle-raising activities.
  • C. U.S. Virgin Islands
    The U.S. Virgin Islands is a Caribbean archipelago and unincorporated U.S. territory known for its tropical beaches, tourism, and strategic location.
  • D. Carolina, Puerto Rico
    Carolina, Puerto Rico is a coastal municipality in the San Juan metropolitan area known for its major tourist resorts, beaches, and role as a commercial and transportation hub.
  • E. Isabela, Puerto Rico
    Isabela, Puerto Rico is a coastal municipality on Puerto Rico’s northwest shore known for its beaches, surfing spots, and agricultural traditions.
  • 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_69d6ab01d2688190ad8ed6bda487eaa5 completed April 8, 2026, 7:22 p.m.
NER Named-entity recognition batch_69d8a526979c8190ad2089997906855b completed April 10, 2026, 7:22 a.m.
NED1 Entity disambiguation (via context triple) batch_69f08fd4c09081909ee36de77ca67247 completed April 28, 2026, 10:45 a.m.
Created at: April 8, 2026, 9:41 p.m.