Triple
T503409
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Southern West Virginia |
E10447
|
entity |
| Predicate | hasCounty |
P285
|
FINISHED |
| Object |
Logan County
Logan County is a largely rural, coal-mining region in southern West Virginia known for its Appalachian landscape and history.
|
E64939
|
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: Logan County | Statement: [Southern West Virginia, hasCounty, Logan County]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Logan County Context triple: [Southern West Virginia, hasCounty, Logan County]
-
A.
Storey County
Storey County is a small, historic county in northern Nevada best known for the Comstock Lode mining district and the preserved 19th-century town of Virginia City.
-
B.
Lawrence County
Lawrence County is a county in western Pennsylvania that forms part of the greater Pittsburgh metropolitan region.
-
C.
LaRue County
LaRue County is a rural county in central Kentucky best known as the birthplace region of Abraham Lincoln, with Hodgenville as its county seat.
-
D.
Butler County
Butler County is a county in western Pennsylvania, north of Pittsburgh, known for its mix of suburban communities, rural landscapes, and growing industrial and service sectors.
-
E.
Lyon County
Lyon County is a largely rural county in western Nevada known for its historic mining towns and growing residential communities.
- 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: Logan County Triple: [Southern West Virginia, hasCounty, Logan County]
Generated description
Logan County is a largely rural, coal-mining region in southern West Virginia known for its Appalachian landscape and history.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Logan County Target entity description: Logan County is a largely rural, coal-mining region in southern West Virginia known for its Appalachian landscape and history.
-
A.
Storey County
Storey County is a small, historic county in northern Nevada best known for the Comstock Lode mining district and the preserved 19th-century town of Virginia City.
-
B.
Lawrence County
Lawrence County is a county in western Pennsylvania that forms part of the greater Pittsburgh metropolitan region.
-
C.
LaRue County
LaRue County is a rural county in central Kentucky best known as the birthplace region of Abraham Lincoln, with Hodgenville as its county seat.
-
D.
Butler County
Butler County is a county in western Pennsylvania, north of Pittsburgh, known for its mix of suburban communities, rural landscapes, and growing industrial and service sectors.
-
E.
Lyon County
Lyon County is a largely rural county in western Nevada known for its historic mining towns and growing residential 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_69a2e848adf881908e5e04f7af030093 |
completed | Feb. 28, 2026, 1:06 p.m. |
| NER | Named-entity recognition | batch_69a2f1357738819085eae6c10fa2fca9 |
completed | Feb. 28, 2026, 1:44 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69a4a6fa632881908ab09767610e6a37 |
completed | March 1, 2026, 8:52 p.m. |
| NEDg | Description generation | batch_69a4a7c98d60819099502bbce8d45943 |
completed | March 1, 2026, 8:55 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69a4a8359edc8190a1d8986cb50c457b |
completed | March 1, 2026, 8:57 p.m. |
Created at: Feb. 28, 2026, 1:12 p.m.