Triple
T6743424
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Hampton Roads |
E154146
|
entity |
| Predicate | hasPart |
P35
|
FINISHED |
| Object |
York County
York County is a county in southeastern Virginia that forms part of the Hampton Roads metropolitan region along the Chesapeake Bay.
|
E631986
|
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: York County | Statement: [Hampton Roads, hasPart, York County]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: York County Context triple: [Hampton Roads, hasPart, York County]
-
A.
York County
York County is a county in northern South Carolina that forms part of the greater Charlotte metropolitan region.
-
B.
Page County
Page County is a rural county in southwestern Iowa known for its agricultural landscape and small communities.
-
C.
Carlisle County
Carlisle County is a rural county in far western Kentucky, United States, known for its agricultural landscape and location within the Jackson Purchase region.
-
D.
Nicholas County
Nicholas County is a largely rural county in central West Virginia known for its mountainous terrain, outdoor recreation areas, and small communities.
-
E.
Bedford County
Bedford County is a county-level jurisdiction in south-central Pennsylvania, known for its rural landscapes, historic sites, and role as a transportation corridor through the Appalachian region.
- 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: York County Triple: [Hampton Roads, hasPart, York County]
Generated description
York County is a county in southeastern Virginia that forms part of the Hampton Roads metropolitan region along the Chesapeake Bay.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: York County Target entity description: York County is a county in southeastern Virginia that forms part of the Hampton Roads metropolitan region along the Chesapeake Bay.
-
A.
York County
York County is a county in northern South Carolina that forms part of the greater Charlotte metropolitan region.
-
B.
Page County
Page County is a rural county in southwestern Iowa known for its agricultural landscape and small communities.
-
C.
Carlisle County
Carlisle County is a rural county in far western Kentucky, United States, known for its agricultural landscape and location within the Jackson Purchase region.
-
D.
Nicholas County
Nicholas County is a largely rural county in central West Virginia known for its mountainous terrain, outdoor recreation areas, and small communities.
-
E.
Bedford County
Bedford County is a county-level jurisdiction in south-central Pennsylvania, known for its rural landscapes, historic sites, and role as a transportation corridor through the Appalachian region.
- 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_69c6880d84d8819095d19de2295f26ac |
completed | March 27, 2026, 1:37 p.m. |
| NER | Named-entity recognition | batch_69c6d1b3b1448190a94b4b64f01af14a |
completed | March 27, 2026, 6:51 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c7581d4fb081908530cfd5f7bcba24 |
completed | March 28, 2026, 4:25 a.m. |
| NEDg | Description generation | batch_69c758fe82348190b8cfd6fc903df20b |
completed | March 28, 2026, 4:28 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69c75972fc888190b8895e7ca755c848 |
completed | March 28, 2026, 4:30 a.m. |
Created at: March 27, 2026, 2:10 p.m.