Triple

T21362159
Position Surface form Disambiguated ID Type / Status
Subject Wateree River E526809 entity
Predicate flowsThrough P225 FINISHED
Object Richland County NE NERFINISHED

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: Richland County | Statement: [Wateree River, flowsThrough, Richland County]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Richland County
Context triple: [Wateree River, flowsThrough, Richland County]
  • A. Richland County
    Richland County is a county in north-central Ohio known for its mix of small cities, rural communities, and historical sites.
  • B. Richland County chosen
    Richland County is a county in central South Carolina that includes the state capital, Columbia, and serves as a regional hub for government, education, and culture.
  • C. Mason County
    Mason County is a rural county in central Texas known for its ranching, hunting, and the historic town of Mason.
  • D. Mason County
    Mason County is a county in western Washington State known for its forests, waterways, and location along the southern reaches of Puget Sound.
  • E. Turner County
    Turner County is a rural county in southeastern South Dakota that forms part of the Sioux Falls metropolitan region.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 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_69e0b51d8a308190b09113b3b3f9bc15 completed April 16, 2026, 10:08 a.m.
NER Named-entity recognition batch_69e8b06b219c81908f7674ae459e7931 completed April 22, 2026, 11:26 a.m.
Created at: April 16, 2026, 5:08 p.m.