Triple

T3553243
Position Surface form Disambiguated ID Type / Status
Subject Tuscarora E75158 entity
Predicate originalRegion P410 FINISHED
Object Carolinas E94416 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: Carolinas | Statement: [Tuscarora, originalRegion, Carolinas]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Carolinas
Context triple: [Tuscarora, originalRegion, Carolinas]
  • A. Carolinas chosen
    The Carolinas are a region of the southeastern United States comprising the states of North Carolina and South Carolina.
  • B. La Carolina
    La Carolina is a town and municipality in the province of Jaén in Andalusia, southern Spain, known historically as one of the New Towns of Sierra Morena founded in the 18th century.
  • C. North Carolina
    North Carolina is a southeastern U.S. state known for its diverse geography from Atlantic beaches to the Appalachian Mountains, major cities like Charlotte and Raleigh, and a strong presence in finance, research, and higher education.
  • D. South Carolina
    South Carolina is a southeastern U.S. state known for its Atlantic coastline, historic cities like Charleston, and significant role in early American and Civil War history.
  • E. Carolina
    Carolina is a major municipality in Puerto Rico, known for its urban character, commercial centers, and proximity to San Juan.
  • 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_69ad85d33c6c819081d5ac1df13b5680 completed March 8, 2026, 2:21 p.m.
NER Named-entity recognition batch_69adc05394888190b59fafda97b49beb completed March 8, 2026, 6:30 p.m.
NED1 Entity disambiguation (via context triple) batch_69b4c3771e348190badb02264ecbdce2 completed March 14, 2026, 2:09 a.m.
Created at: March 8, 2026, 3:20 p.m.