Triple
T22518609
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Charleston–North Charleston metropolitan area |
E556713
|
entity |
| Predicate | contains |
P35
|
FINISHED |
| Object | Hanahan, South Carolina |
—
|
NE NERFINISHED |
How this triple was built (3 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: Hanahan, South Carolina | Statement: [Charleston–North Charleston metropolitan area, contains, Hanahan, South Carolina]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Hanahan, South Carolina Context triple: [Charleston–North Charleston metropolitan area, contains, Hanahan, South Carolina]
-
A.
Mount Pleasant, South Carolina
Mount Pleasant is a rapidly growing suburban town in the Charleston metropolitan area of South Carolina, known for its coastal setting, historic sites, and residential communities.
-
B.
Hartsville, South Carolina
Hartsville, South Carolina is a small city in Darlington County known for its historic downtown, industrial base, and role as a regional hub in northeastern South Carolina.
-
C.
Fountain Inn, South Carolina
Fountain Inn, South Carolina is a small city in the Greenville–Spartanburg metropolitan area known for its historic downtown and community-oriented character in the Upstate region.
-
D.
Spartanburg, South Carolina
Spartanburg, South Carolina is a city in the Upstate region known as a regional economic and educational hub and a key stop on Amtrak’s Crescent passenger rail line.
-
E.
Batesburg-Leesville, South Carolina
Batesburg-Leesville, South Carolina is a small town in the central part of the state known for its rural character and location within the Columbia metropolitan area.
- F. None of above. chosen
- G. Unsure - the case is ambiguous/there is not enough information to decide.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Hanahan, South Carolina Target entity description: Hanahan, South Carolina is a small suburban city in Berkeley County known for its residential communities, proximity to Charleston, and access to coastal waterways.
-
A.
Mount Pleasant, South Carolina
Mount Pleasant is a rapidly growing suburban town in the Charleston metropolitan area of South Carolina, known for its coastal setting, historic sites, and residential communities.
-
B.
Hartsville, South Carolina
Hartsville, South Carolina is a small city in Darlington County known for its historic downtown, industrial base, and role as a regional hub in northeastern South Carolina.
-
C.
Fountain Inn, South Carolina
Fountain Inn, South Carolina is a small city in the Greenville–Spartanburg metropolitan area known for its historic downtown and community-oriented character in the Upstate region.
-
D.
Spartanburg, South Carolina
Spartanburg, South Carolina is a city in the Upstate region known as a regional economic and educational hub and a key stop on Amtrak’s Crescent passenger rail line.
-
E.
Batesburg-Leesville, South Carolina
Batesburg-Leesville, South Carolina is a small town in the central part of the state known for its rural character and location within the Columbia metropolitan area.
- F. None of above. chosen
Provenance (2 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_69e11e5657e881909f16ca58352c50da |
completed | April 16, 2026, 5:37 p.m. |
| NER | Named-entity recognition | batch_69f15e2f5c308190a0e6755a24340917 |
completed | April 29, 2026, 1:26 a.m. |
Created at: April 16, 2026, 8:50 p.m.