Triple
T9264083
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Chester County, South Carolina |
E222651
|
entity |
| Predicate | stateSenateDistrictsInclude |
P68341
|
FINISHED |
| Object | South Carolina Senate Districts covering Chester County |
E222651
|
NE FINISHED |
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: South Carolina Senate Districts covering Chester County | Statement: [Chester County, South Carolina, stateSenateDistrictsInclude, South Carolina Senate Districts covering Chester County]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: South Carolina Senate Districts covering Chester County Context triple: [Chester County, South Carolina, stateSenateDistrictsInclude, South Carolina Senate Districts covering Chester County]
-
A.
Chesterfield District, South Carolina
Chesterfield District, South Carolina was a former administrative district in northeastern South Carolina that later became Chesterfield County, known historically as a rural area of the antebellum South.
-
B.
Chesterfield County, South Carolina
Chesterfield County, South Carolina is a rural county in the northeastern part of the state known for its small towns, agricultural landscape, and inclusion in the Pee Dee region.
-
C.
Chester County, South Carolina
chosen
Chester County, South Carolina is a predominantly rural county in the north-central part of the state, historically significant for its role in the American Revolutionary era and early state politics.
-
D.
Lancaster County, South Carolina
Lancaster County, South Carolina is a county in the northern part of the state that lies within the rapidly growing Charlotte metropolitan area.
-
E.
Fairfield County, South Carolina
Fairfield County, South Carolina is a predominantly rural county in the central part of the state, known for its historic town of Winnsboro and its role in South Carolina’s agricultural and industrial economy.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: stateSenateDistrictsInclude Context triple: [Chester County, South Carolina, stateSenateDistrictsInclude, South Carolina Senate Districts covering Chester County]
-
A.
stateOfCongressionalDistrict
Indicates the relationship where a specific congressional district is located within or belongs to a particular U.S. state.
-
B.
stateUpperHouseDistrictsInclude
chosen
Indicates that one or more state upper house legislative districts geographically contain or encompass the referenced area or entity.
-
C.
numberOfSenateDistricts
Indicates the total count of senate districts associated with a given entity or jurisdiction.
-
D.
stateLowerHouseDistrictsInclude
Indicates that a given set of state lower house districts geographically includes or contains another specified area or set of districts.
-
E.
stateHouseDistrict
Indicates the specific state-level legislative house district in which an entity is located or to which it is assigned.
- F. None of above.
Provenance (4 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_69ca841f2e808190a64f4c31903a1332 |
completed | March 30, 2026, 2:09 p.m. |
| NER | Named-entity recognition | batch_69cd0748a1f481909d9d876692cefccc |
completed | April 1, 2026, 11:53 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d09c0f0c6c81909f97ccc4c09e8072 |
completed | April 4, 2026, 5:05 a.m. |
| PD | Predicate disambiguation | batch_69cc7a537bbc8190baee71f556e52a7b |
completed | April 1, 2026, 1:52 a.m. |
Created at: March 30, 2026, 7:32 p.m.