Triple
T2111792
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Crescent |
E42519
|
entity |
| Predicate | servesCity |
P82
|
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: [Crescent, servesCity, Spartanburg]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Spartanburg Context triple: [Crescent, servesCity, 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.
Greenville
Greenville is a small city in south-central Alabama known for its historic downtown and role as the county seat of Butler County.
-
C.
Greenville
Greenville is a residential neighborhood in the southern part of Jersey City, New Jersey, known for its diverse community and urban character.
-
D.
Rock Hill
Rock Hill is a rapidly growing city in northern South Carolina known for its proximity to Charlotte, diverse economy, and strong sports and educational institutions.
-
E.
Columbia, South Carolina
Columbia, South Carolina is the capital and largest city of South Carolina, known for its role as a regional center of government, education, and culture.
- 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_69a8871040f08190aac2e2d0ab6b47ad |
completed | March 4, 2026, 7:25 p.m. |
| NER | Named-entity recognition | batch_69abbb0369a88190af02f0e4e05e2511 |
completed | March 7, 2026, 5:43 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ae30721e1c8190869d577f58015141 |
completed | March 9, 2026, 2:29 a.m. |
Created at: March 4, 2026, 7:43 p.m.