Triple

T9316798
Position Surface form Disambiguated ID Type / Status
Subject Princess Carolina of Orange-Nassau E224142 entity
Predicate givenName P17 FINISHED
Object Carolina E365144 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: Carolina | Statement: [Princess Carolina of Orange-Nassau, givenName, Carolina]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Carolina
Context triple: [Princess Carolina of Orange-Nassau, givenName, Carolina]
  • A. Carolina
    Carolina is a major municipality in Puerto Rico, known for its urban character, commercial centers, and proximity to San Juan.
  • B. Carolina
    Carolina is a common nickname for the University of North Carolina at Chapel Hill, a major public research university known for its strong academics and athletic programs.
  • C. Carolina chosen
    Carolina is a feminine given name of Latin origin, commonly used in various languages as a form of Caroline or Charles.
  • D. Carolina
    "Carolina" is a country music album by American singer-songwriter Eric Church that helped establish his reputation for blending traditional country with rock influences.
  • E. Carolina
    Carolina was a major English colony in North America that later split into the separate colonies (and eventual U.S. states) of North Carolina and South Carolina.
  • 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_69ca8425f4fc81909c1c586e9a5b7530 completed March 30, 2026, 2:09 p.m.
NER Named-entity recognition batch_69cd35899b9081908bb0c310cc25722f completed April 1, 2026, 3:11 p.m.
NED1 Entity disambiguation (via context triple) batch_69d100c48be481908b670d1e30a9c7e2 completed April 4, 2026, 12:15 p.m.
Created at: March 30, 2026, 7:38 p.m.