Triple

T14379146
Position Surface form Disambiguated ID Type / Status
Subject Pennington County E356554 entity
Predicate borders P224 FINISHED
Object Lawrence County
Lawrence County is a county in western South Dakota known for including part of the Black Hills region and the historic city of Deadwood.
 E1138405 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: Lawrence County | Statement: [Pennington County, borders, Lawrence County]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Lawrence County
Context triple: [Pennington County, borders, Lawrence County]
  • A. Lawrence County
    Lawrence County is a county in western Pennsylvania that forms part of the greater Pittsburgh metropolitan region.
  • B. Lawrence County
    Lawrence County is a rural county in northern Alabama known for its agricultural communities, outdoor recreation areas, and proximity to the Tennessee River.
  • C. Lawrence County
    Lawrence County is a rural county in central Mississippi known for its small communities, forests, and agricultural landscape.
  • D. Lawrence County
    Lawrence County is a county in southern Indiana known for its limestone industry and small towns such as Oolitic and Bedford.
  • E. Marshall County
    Marshall County is a centrally located county in the U.S. state of Iowa, known for its agricultural landscape and the city of Marshalltown as its county seat.
  • 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: Lawrence County
Triple: [Pennington County, borders, Lawrence County]
Generated description
Lawrence County is a county in western South Dakota known for including part of the Black Hills region and the historic city of Deadwood.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Lawrence County
Target entity description: Lawrence County is a county in western South Dakota known for including part of the Black Hills region and the historic city of Deadwood.
  • A. Lawrence County
    Lawrence County is a county in western Pennsylvania that forms part of the greater Pittsburgh metropolitan region.
  • B. Lawrence County
    Lawrence County is a rural county in northern Alabama known for its agricultural communities, outdoor recreation areas, and proximity to the Tennessee River.
  • C. Lawrence County
    Lawrence County is a rural county in central Mississippi known for its small communities, forests, and agricultural landscape.
  • D. Lawrence County
    Lawrence County is a county in southern Indiana known for its limestone industry and small towns such as Oolitic and Bedford.
  • E. Marshall County
    Marshall County is a county in northern Alabama known for its scenic location around Lake Guntersville and its mix of small towns and rural communities.
  • 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_69d8279163a081908aec45c0e3f1e02f completed April 9, 2026, 10:26 p.m.
NER Named-entity recognition batch_69de900a67e08190ab1dcf36e6bb3405 completed April 14, 2026, 7:05 p.m.
NED1 Entity disambiguation (via context triple) batch_69feb7cccd548190b9ec93f9d9d2f2af completed May 9, 2026, 4:27 a.m.
NEDg Description generation batch_69feb971df248190bccc187517557373 completed May 9, 2026, 4:34 a.m.
NED2 Entity disambiguation (via description) batch_69feb9faeb2c819098e8dd4e0cf223bc completed May 9, 2026, 4:37 a.m.
Created at: April 10, 2026, 1:16 a.m.