Triple
T1742034
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Georgia Gold Belt |
E38253
|
entity |
| Predicate | containsCity |
P294
|
FINISHED |
| Object | Dalton |
E129637
|
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: Dalton | Statement: [Georgia Gold Belt, containsCity, Dalton]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Dalton Context triple: [Georgia Gold Belt, containsCity, Dalton]
-
A.
Dalton
Dalton is a small town in western Massachusetts known historically for its paper mills and as the longtime home of the Crane & Co. currency paper company.
-
B.
Dalton
chosen
Dalton is a city in northwest Georgia known for its large carpet and flooring industry, often referred to as the "Carpet Capital of the World."
-
C.
Colton
Colton is a small city in Southern California’s Inland Empire region, located within San Bernardino County.
-
D.
Hayden
Hayden is a surname most notably associated with American actor and author Sterling Hayden, known for his roles in classic mid-20th-century films.
-
E.
Rutherford
Rutherford is the given name of Rutherford B. Hayes, the 19th president of the United States.
- 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_69a8862b01a48190ab47209063af82d9 |
completed | March 4, 2026, 7:21 p.m. |
| NER | Named-entity recognition | batch_69aa63c6d21c8190809bedaa798e2b14 |
completed | March 6, 2026, 5:19 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ad8b0ab7008190a2fafe1c8ac55ac4 |
completed | March 8, 2026, 2:43 p.m. |
Created at: March 4, 2026, 7:30 p.m.