Triple

T4639284
Position Surface form Disambiguated ID Type / Status
Subject R Reactor E101611 entity
Predicate locatedNear P294 FINISHED
Object Aiken, South Carolina E335975 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: Aiken, South Carolina | Statement: [R Reactor, locatedNear, Aiken, South Carolina]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Aiken, South Carolina
Context triple: [R Reactor, locatedNear, Aiken, South Carolina]
  • A. Aiken, South Carolina chosen
    Aiken, South Carolina is a historic city in western South Carolina known for its equestrian culture, winter colony heritage, and tree-lined streets.
  • B. Jackson, South Carolina
    Jackson, South Carolina is a small town in western South Carolina located near the Savannah River and the Savannah River Site, within the Augusta metropolitan area.
  • C. Aiken
    Aiken is a variant spelling of the surname Aitken, which is of Scottish origin.
  • D. Columbia, South Carolina
    Columbia, South Carolina is the capital and largest city of South Carolina, known for its role as a regional center of government, education, and culture.
  • E. Spartanburg, South Carolina
    Spartanburg, South Carolina is a city in the Upstate region known as a regional economic and educational hub and a key stop on Amtrak’s Crescent passenger rail line.
  • 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_69bd43d3bc7c81908f81fcf380476b0f completed March 20, 2026, 12:55 p.m.
NER Named-entity recognition batch_69bd5a8e0ee88190becab97d2ef1571a completed March 20, 2026, 2:32 p.m.
NED1 Entity disambiguation (via context triple) batch_69be6f8f61b08190ad8913c633369c50 completed March 21, 2026, 10:14 a.m.
Created at: March 20, 2026, 1:13 p.m.