Triple
T1140704
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Georgia State Route 3 |
E23442
|
entity |
| Predicate | connects |
P390
|
FINISHED |
| Object |
Dalton
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."
|
E129637
|
NE FINISHED |
How this triple was built (4 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 State Route 3, connects, Dalton]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Dalton Context triple: [Georgia State Route 3, connects, 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.
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.
-
C.
Rutherford
Rutherford is a residential and industrial suburb in the City of Maitland in New South Wales, Australia.
-
D.
Rutherford
Rutherford is the given name of Rutherford B. Hayes, the 19th president of the United States.
-
E.
Mahlon
Mahlon is a minor biblical figure in the Book of Ruth, known as one of Naomi’s sons and the first husband of Ruth.
- F. None of above. chosen
- G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg
Description generation
gpt-5.1
Instruction
Generate a one-sentence description of the target entity. You are given a context triple in the form (subject, predicate, object), where the object is the target entity. # Instructions Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. Avoid repeating the information from the triple, unless really essential. # Response Format Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Dalton Triple: [Georgia State Route 3, connects, Dalton]
Generated description
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."
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Dalton Target entity description: 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."
-
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.
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.
-
C.
Rutherford
Rutherford is a residential and industrial suburb in the City of Maitland in New South Wales, Australia.
-
D.
Rutherford
Rutherford is the given name of Rutherford B. Hayes, the 19th president of the United States.
-
E.
Mahlon
Mahlon is a minor biblical figure in the Book of Ruth, known as one of Naomi’s sons and the first husband of Ruth.
- F. None of above. chosen
Provenance (5 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_69a493ef399c8190b04b9146d2314f59 |
completed | March 1, 2026, 7:30 p.m. |
| NER | Named-entity recognition | batch_69a4bc290ae08190afbf7e7ea2100d9e |
completed | March 1, 2026, 10:22 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ac59b020d48190bc6ecbdb720c6779 |
completed | March 7, 2026, 5 p.m. |
| NEDg | Description generation | batch_69ac5a7599048190a46b0d560270ffa4 |
completed | March 7, 2026, 5:03 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69ac5af24a948190a37c832508149a48 |
completed | March 7, 2026, 5:05 p.m. |
Created at: March 1, 2026, 7:44 p.m.