Triple
T1018486
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | North Charleston, South Carolina |
E21986
|
entity |
| Predicate | county |
P75
|
FINISHED |
| Object | Dorchester County |
E71072
|
NE FINISHED |
How this triple was built (2 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: Dorchester County | Statement: [North Charleston, South Carolina, county, Dorchester County]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Dorchester County Context triple: [North Charleston, South Carolina, county, Dorchester County]
-
A.
Dorchester County
chosen
Dorchester County is a county in South Carolina known for its proximity to Charleston and its mix of historic communities and rapidly growing suburban areas.
-
B.
Richmond County
Richmond County is the official county name for Staten Island, one of New York City's five boroughs.
-
C.
Talbot County
Talbot County is a county in west-central Georgia, United States, known for its rural character and historic small towns such as Talbotton.
-
D.
Kent County
Kent County is a county in western Michigan that includes the city of Grand Rapids as its county seat and largest urban center.
-
E.
Summers County
Summers County is a rural county in southern West Virginia known for its scenic Appalachian landscapes, outdoor recreation along the New River and Bluestone Lake, and small-town communities.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (3 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_69a493c68e24819080ed0ee8bcfd5ce0 |
completed | March 1, 2026, 7:30 p.m. |
| NER | Named-entity recognition | batch_69a4b7c6005081909d9e56114c532d14 |
completed | March 1, 2026, 10:03 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ac59978cb4819098118b6348b8a55a |
completed | March 7, 2026, 5 p.m. |
Created at: March 1, 2026, 7:41 p.m.