Triple

T21096204
Position Surface form Disambiguated ID Type / Status
Subject Anderson County, South Carolina E519772 entity
Predicate hasRegion P285 FINISHED
Object Williamston
Williamston is a small town in Anderson County, South Carolina, known for its historic mineral spring park and traditional Southern community character.
E1466683 NE FINISHED

How this triple was built (4 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: Williamston | Statement: [Anderson County, South Carolina, hasRegion, Williamston]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Williamston
Context triple: [Anderson County, South Carolina, hasRegion, Williamston]
  • A. Thomasville
    Thomasville is a small city in southern Georgia known for its historic downtown, Victorian architecture, and annual Rose Show and Festival.
  • B. Richardville
    Richardville is a French-origin surname most notably associated with Jean Baptiste Richardville, a prominent 19th-century Miami (Myaamia) chief.
  • C. Marthasville
    Marthasville was the former name of the city now known as Atlanta, Georgia, during its early 19th-century development as a railroad terminus.
  • D. Stewarttown
    Stewarttown is a small community located within the town of Halton Hills in Ontario, Canada.
  • E. Morganton
    Morganton is a small town located in Fannin County in the mountainous region of northern Georgia, United States.
  • F. None of above. chosen
  • G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg Description generation gpt-5.1
Instruction
Generate a one-sentence description of the target entity. 
You are given a context triple in the form (subject, predicate, object), where the object is the target entity. 
# Instructions
Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. 
Avoid repeating the information from the triple, unless really essential.
# Response Format
Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Williamston
Triple: [Anderson County, South Carolina, hasRegion, Williamston]
Generated description
Williamston is a small town in Anderson County, South Carolina, known for its historic mineral spring park and traditional Southern community character.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Williamston
Target entity description: Williamston is a small town in Anderson County, South Carolina, known for its historic mineral spring park and traditional Southern community character.
  • A. Thomasville
    Thomasville is a small city in southern Georgia known for its historic downtown, Victorian architecture, and annual Rose Show and Festival.
  • B. Richardville
    Richardville is a French-origin surname most notably associated with Jean Baptiste Richardville, a prominent 19th-century Miami (Myaamia) chief.
  • C. Marthasville
    Marthasville was the former name of the city now known as Atlanta, Georgia, during its early 19th-century development as a railroad terminus.
  • D. Stewarttown
    Stewarttown is a small community located within the town of Halton Hills in Ontario, Canada.
  • E. Morganton
    Morganton is a small town located in Fannin County in the mountainous region of northern Georgia, United States.
  • F. None of above. chosen

Provenance (5 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_69e0b508d8dc81909be940dafe36c8f7 completed April 16, 2026, 10:08 a.m.
NER Named-entity recognition batch_69e71b595cdc8190ba7a6f3f71d40c3f completed April 21, 2026, 6:38 a.m.
NED1 Entity disambiguation (via context triple) batch_6a095a5e7f048190b485f392105666d2 completed May 17, 2026, 6:04 a.m.
NEDg Description generation batch_6a095b6d25f8819097334c13ef37003e completed May 17, 2026, 6:08 a.m.
NED2 Entity disambiguation (via description) batch_6a095c7c8840819087c9860a75314b83 completed May 17, 2026, 6:13 a.m.
Created at: April 16, 2026, 2:52 p.m.