Triple
T22806406
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Sumter |
E564545
|
entity |
| Predicate | hasVariant |
P455
|
FINISHED |
| Object | Sumpter |
—
|
NE NERFINISHED |
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: Sumpter | Statement: [Sumter, hasVariant, Sumpter]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Sumpter Context triple: [Sumter, hasVariant, Sumpter]
-
A.
Sumpter
chosen
Sumpter is a surname most notably borne by British actor Donald Sumpter, known for his extensive work in film and television.
-
B.
Sumpter Valley
Sumpter Valley is a historic valley in northeastern Oregon known for its gold mining heritage, scenic forested landscape, and the restored Sumpter Valley Railroad.
-
C.
Chulman
Chulman is an urban-type settlement in the Sakha Republic (Yakutia), Russia, known historically for its coal mining and location near the town of Neryungri.
-
D.
Weiser
Weiser is a German-language surname borne by various notable individuals in fields such as politics, sports, and academia.
-
E.
Henry’s Fork
Henry’s Fork is a tributary of the Green River in the western United States, known for its scenic canyons and trout fishing.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
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_69e245823f4c8190ade442cdcc2c224a |
completed | April 17, 2026, 2:36 p.m. |
| NER | Named-entity recognition | batch_69f17d5c193481908550993e2547515d |
completed | April 29, 2026, 3:39 a.m. |
Created at: April 17, 2026, 3:32 p.m.