Triple
T5963514
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | U.S. Route 41 in Georgia |
E132695
|
entity |
| Predicate | passesThrough |
P225
|
FINISHED |
| Object | Calhoun |
E132694
|
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: Calhoun | Statement: [U.S. Route 41 in Georgia, passesThrough, Calhoun]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Calhoun Context triple: [U.S. Route 41 in Georgia, passesThrough, Calhoun]
-
A.
Calhoun
chosen
Calhoun is a small city in northwest Georgia known for its location along Interstate 75 and its role as a commercial and historical hub of Gordon County.
-
B.
Colemore
Colemore is a small rural village and civil parish in East Hampshire, England, known for its historic church and agricultural surroundings.
-
C.
Broderick
Broderick is the birth name of American comedian, television host, and actor Steve Harvey.
-
D.
Christopher Gadsden
Christopher Gadsden was an American patriot leader from South Carolina, a Continental Congress delegate, and the designer of the iconic “Don’t Tread on Me” Gadsden flag during the American Revolution.
-
E.
Cabell
Cabell is a surname of English origin borne by various notable individuals, including American politician Earle Cabell.
- 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_69c0086c2364819091e9fe2f58fa2517 |
completed | March 22, 2026, 3:19 p.m. |
| NER | Named-entity recognition | batch_69c03a00e444819087f9df62263e83dc |
completed | March 22, 2026, 6:50 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c0e3f32e8481908a6075684287c412 |
completed | March 23, 2026, 6:55 a.m. |
Created at: March 22, 2026, 4:03 p.m.