Triple
T10548561
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Lincoln County Courthouse |
E248884
|
entity |
| Predicate | hasAddressLocality |
P7943
|
FINISHED |
| Object |
Canton
Canton is a small city in southeastern South Dakota that serves as the county seat of Lincoln County.
|
E870152
|
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: Canton | Statement: [Lincoln County Courthouse, hasAddressLocality, Canton]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Canton Context triple: [Lincoln County Courthouse, hasAddressLocality, Canton]
-
A.
Canton
Canton is the historical Western name for Guangzhou, a major port city in southern China and the capital of Guangdong province.
-
B.
Canton
Canton is a small New England town in Hartford County, Connecticut, known for its historic village centers and scenic Farmington River setting.
-
C.
Canton
Canton is a historic waterfront neighborhood in southeast Baltimore, Maryland, known for its revitalized harborfront, rowhouses, and vibrant bar and restaurant scene.
-
D.
Canton
Canton is a city in northeastern Ohio best known as the home of the Pro Football Hall of Fame.
-
E.
Canton
Canton is a surname of English and French origin borne by various notable individuals across fields such as film production and politics.
- 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: Canton Triple: [Lincoln County Courthouse, hasAddressLocality, Canton]
Generated description
Canton is a small city in southeastern South Dakota that serves as the county seat of Lincoln County.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Canton Target entity description: Canton is a small city in southeastern South Dakota that serves as the county seat of Lincoln County.
-
A.
Canton
Canton is a small New England town in Hartford County, Connecticut, known for its historic village centers and scenic Farmington River setting.
-
B.
Canton
Canton is a suburban town in Norfolk County, Massachusetts, located southwest of Boston and known for its residential character and local historic sites.
-
C.
Canton
Canton is the historical Western name for Guangzhou, a major port city in southern China and the capital of Guangdong province.
-
D.
Canton
Canton is a historic waterfront neighborhood in southeast Baltimore, Maryland, known for its revitalized harborfront, rowhouses, and vibrant bar and restaurant scene.
-
E.
Canton
Canton is a city in northeastern Ohio best known as the home of the Pro Football Hall of Fame.
- 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_69d381c733c08190ab1dd6239f5f34ae |
completed | April 6, 2026, 9:49 a.m. |
| NER | Named-entity recognition | batch_69d526d305d081909b48d244e1cfa092 |
completed | April 7, 2026, 3:46 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d93457af7c819090f576ae606c5849 |
completed | April 10, 2026, 5:33 p.m. |
| NEDg | Description generation | batch_69d938c8b25c8190bb048053d8668e5c |
completed | April 10, 2026, 5:52 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69d939b1844881908c8fbcb9488863f6 |
completed | April 10, 2026, 5:56 p.m. |
Created at: April 6, 2026, 12:33 p.m.