Triple
T11327149
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | USC Upstate |
E268249
|
entity |
| Predicate | city |
P40
|
FINISHED |
| Object | Spartanburg |
E61724
|
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: Spartanburg | Statement: [USC Upstate, city, Spartanburg]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Spartanburg Context triple: [USC Upstate, city, Spartanburg]
-
A.
Spartanburg, South Carolina
chosen
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.
-
B.
Simpsonville
Simpsonville is a suburban city in upstate South Carolina, known as part of the Greenville metropolitan area and for its rapid residential and commercial growth.
-
C.
Easley, South Carolina
Easley, South Carolina is a small city in the northwestern part of the state known for its proximity to the Blue Ridge Mountains and its role as a suburban community near Greenville.
-
D.
Greenville
Greenville is a small city in south-central Alabama known for its historic downtown and role as the county seat of Butler County.
-
E.
Greenville
Greenville is a suburban community within the greater Dallas metropolitan area in Texas.
- 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_69d6aacb1f0881908c84a349fd1be047 |
completed | April 8, 2026, 7:21 p.m. |
| NER | Named-entity recognition | batch_69d7e9e2253881909518cad0f12ef612 |
completed | April 9, 2026, 6:03 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69e5564218bc8190bbaf9aceb69fdc26 |
completed | April 19, 2026, 10:25 p.m. |
Created at: April 8, 2026, 9:32 p.m.