Triple

T76248
Position Surface form Disambiguated ID Type / Status
Subject Caribbean E1523 entity
Predicate includes P1393 FINISHED
Object Hispaniola E29077 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: Hispaniola | Statement: [Caribbean, includes, Hispaniola]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Hispaniola
Context triple: [Caribbean, includes, Hispaniola]
  • A. Hispaniola chosen
    Hispaniola is a major Caribbean island shared by Haiti and the Dominican Republic and was one of the earliest and most important centers of Spanish colonization in the Americas.
  • B. Trinidad
    Trinidad was the flagship of Ferdinand Magellan’s expedition, the first voyage to successfully circumnavigate the globe.
  • C. Water Island
    Water Island is a small, largely residential and tranquil island in the Caribbean that forms part of the U.S. Virgin Islands.
  • D. Isla Verde
    Isla Verde is a popular beachfront district in the metropolitan area of San Juan, Puerto Rico, known for its resorts, nightlife, and sandy shores.
  • E. Easter Island
    Easter Island is a remote Polynesian island in the southeastern Pacific Ocean, famed for its monumental moai statues and distinctive Rapa Nui culture.
  • 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_69a24c60d19c8190a1b6c105ca59ef5b completed Feb. 28, 2026, 2:01 a.m.
NER Named-entity recognition batch_69a24f1d20b88190b66836cc018e52e1 completed Feb. 28, 2026, 2:12 a.m.
NED1 Entity disambiguation (via context triple) batch_69a376555f5081909f8a6593aa5858c4 completed Feb. 28, 2026, 11:12 p.m.
Created at: Feb. 28, 2026, 2:06 a.m.