Triple
T21304656
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Buchanan County, Virginia |
E525161
|
entity |
| Predicate | countySeat |
P383
|
FINISHED |
| Object |
Grundy
Grundy is a small Appalachian town in southwestern Virginia known for serving as the economic and administrative hub of Buchanan County.
|
E1477201
|
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: Grundy | Statement: [Buchanan County, Virginia, countySeat, Grundy]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Grundy Context triple: [Buchanan County, Virginia, countySeat, Grundy]
-
A.
Grundy
Grundy is a surname of English origin borne by various notable individuals across politics, sports, and entertainment.
-
B.
Garey
Garey is a given name, typically a less common variant of the name Gary.
-
C.
Grund
Grund is a historic, picturesque quarter of Luxembourg City known for its riverside setting, old architecture, and vibrant nightlife.
-
D.
Geising
Geising is a historic mining town in Germany’s Saxon Ore Mountains, known for its long association with ore extraction and traditional mountain culture.
-
E.
Garity
Garity is a surname most notably associated with American actor Troy Garity, known for his roles in films such as "Barbershop" and "Soldier's Girl."
- 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: Grundy Triple: [Buchanan County, Virginia, countySeat, Grundy]
Generated description
Grundy is a small Appalachian town in southwestern Virginia known for serving as the economic and administrative hub of Buchanan County.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Grundy Target entity description: Grundy is a small Appalachian town in southwestern Virginia known for serving as the economic and administrative hub of Buchanan County.
-
A.
Grundy
Grundy is a surname of English origin borne by various notable individuals across politics, sports, and entertainment.
-
B.
Garey
Garey is a given name, typically a less common variant of the name Gary.
-
C.
Grund
Grund is a historic, picturesque quarter of Luxembourg City known for its riverside setting, old architecture, and vibrant nightlife.
-
D.
Geising
Geising is a historic mining town in Germany’s Saxon Ore Mountains, known for its long association with ore extraction and traditional mountain culture.
-
E.
Garity
Garity is a surname most notably associated with American actor Troy Garity, known for his roles in films such as "Barbershop" and "Soldier's Girl."
- 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_69e0b518b8948190ad69cf9a8784d397 |
completed | April 16, 2026, 10:08 a.m. |
| NER | Named-entity recognition | batch_69e75aa341908190963c4368708860b8 |
completed | April 21, 2026, 11:08 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a099ed32130819081479d9845d74ac3 |
completed | May 17, 2026, 10:56 a.m. |
| NEDg | Description generation | batch_6a099f69f1e08190bf96197fcf42b897 |
completed | May 17, 2026, 10:58 a.m. |
| NED2 | Entity disambiguation (via description) | batch_6a099feeda3481909d8020763f32d430 |
completed | May 17, 2026, 11:01 a.m. |
Created at: April 16, 2026, 4:05 p.m.