Triple
T2654530
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Pittsylvania County, Virginia |
E53976
|
entity |
| Predicate | hasMunicipality |
P847
|
FINISHED |
| Object |
Hurt, Virginia
Hurt, Virginia is a small incorporated town located in Pittsylvania County in the south-central region of the state.
|
E286828
|
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: Hurt, Virginia | Statement: [Pittsylvania County, Virginia, hasMunicipality, Hurt, Virginia]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Hurt, Virginia Context triple: [Pittsylvania County, Virginia, hasMunicipality, Hurt, Virginia]
-
A.
Shipman, Virginia
Shipman, Virginia is an unincorporated community in Nelson County known for its rural setting in central Virginia.
-
B.
Dyke, Virginia
Dyke, Virginia is a small unincorporated rural community located in Greene County in central Virginia.
-
C.
Gore, Virginia
Gore, Virginia is a small unincorporated community in Frederick County best known as the birthplace of American novelist Willa Cather.
-
D.
Lovingston, Virginia
Lovingston, Virginia is a small unincorporated community and the county seat of Nelson County, known for its rural setting in central Virginia.
-
E.
Burke, Virginia
Burke, Virginia is a suburban community in Fairfax County near Washington, D.C., known for its residential neighborhoods, parks, and commuter access.
- 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: Hurt, Virginia Triple: [Pittsylvania County, Virginia, hasMunicipality, Hurt, Virginia]
Generated description
Hurt, Virginia is a small incorporated town located in Pittsylvania County in the south-central region of the state.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Hurt, Virginia Target entity description: Hurt, Virginia is a small incorporated town located in Pittsylvania County in the south-central region of the state.
-
A.
Shipman, Virginia
Shipman, Virginia is an unincorporated community in Nelson County known for its rural setting in central Virginia.
-
B.
Dyke, Virginia
Dyke, Virginia is a small unincorporated rural community located in Greene County in central Virginia.
-
C.
Gore, Virginia
Gore, Virginia is a small unincorporated community in Frederick County best known as the birthplace of American novelist Willa Cather.
-
D.
Lovingston, Virginia
Lovingston, Virginia is a small unincorporated community and the county seat of Nelson County, known for its rural setting in central Virginia.
-
E.
Burke, Virginia
Burke, Virginia is a suburban community in Fairfax County near Washington, D.C., known for its residential neighborhoods, parks, and commuter access.
- 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_69ab495e192081909c77b622e8e7e15a |
completed | March 6, 2026, 9:38 p.m. |
| NER | Named-entity recognition | batch_69abd932a35881909568839589f12062 |
completed | March 7, 2026, 7:52 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69af98d0dbd08190a317dfe1844840c5 |
completed | March 10, 2026, 4:06 a.m. |
| NEDg | Description generation | batch_69af9a41c69c8190b99bcad7098e68fe |
completed | March 10, 2026, 4:12 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69af9aaeedcc8190901da0fe37e7801d |
completed | March 10, 2026, 4:14 a.m. |
Created at: March 6, 2026, 9:53 p.m.