Triple
T13265805
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Jones County, Mississippi |
E315919
|
entity |
| Predicate | hasCity |
P316
|
FINISHED |
| Object |
Soso, Mississippi
Soso, Mississippi is a small rural town in Jones County known for its distinctive name and quiet, close-knit community.
|
E1160323
|
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: Soso, Mississippi | Statement: [Jones County, Mississippi, hasCity, Soso, Mississippi]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Soso, Mississippi Context triple: [Jones County, Mississippi, hasCity, Soso, Mississippi]
-
A.
Scooba, Mississippi
Scooba, Mississippi is a small rural town in eastern Mississippi known for its close-knit community and location near the Alabama state line.
-
B.
Sallis, Mississippi
Sallis, Mississippi is a small rural town located in central Mississippi within Attala County.
-
C.
Kosciusko, Mississippi
Kosciusko, Mississippi is a small historic city in central Mississippi known as the birthplace of Oprah Winfrey.
-
D.
Benoit, Mississippi
Benoit, Mississippi is a small town in Bolivar County best known for its historic antebellum homes and as a filming location for classic Southern-set movies.
-
E.
Savoy, Mississippi
Savoy, Mississippi is a small unincorporated rural community located in Lauderdale County in the eastern part of the state.
- 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: Soso, Mississippi Triple: [Jones County, Mississippi, hasCity, Soso, Mississippi]
Generated description
Soso, Mississippi is a small rural town in Jones County known for its distinctive name and quiet, close-knit community.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Soso, Mississippi Target entity description: Soso, Mississippi is a small rural town in Jones County known for its distinctive name and quiet, close-knit community.
-
A.
Scooba, Mississippi
Scooba, Mississippi is a small rural town in eastern Mississippi known for its close-knit community and location near the Alabama state line.
-
B.
Sallis, Mississippi
Sallis, Mississippi is a small rural town located in central Mississippi within Attala County.
-
C.
Kosciusko, Mississippi
Kosciusko, Mississippi is a small historic city in central Mississippi known as the birthplace of Oprah Winfrey.
-
D.
Benoit, Mississippi
Benoit, Mississippi is a small town in Bolivar County best known for its historic antebellum homes and as a filming location for classic Southern-set movies.
-
E.
Savoy, Mississippi
Savoy, Mississippi is a small unincorporated rural community located in Lauderdale County in the eastern part of the state.
- 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_69d806b1d9ac8190852c5571d5bd5f0f |
completed | April 9, 2026, 8:06 p.m. |
| NER | Named-entity recognition | batch_69d9901e44bc8190966f87ae219d6bf4 |
completed | April 11, 2026, 12:04 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ff3643a23481909103166abb6aaa4e |
completed | May 9, 2026, 1:27 p.m. |
| NEDg | Description generation | batch_69ff379902e48190a84c71f532140f14 |
completed | May 9, 2026, 1:33 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69ff384962f88190964fc040a2a44aa8 |
completed | May 9, 2026, 1:36 p.m. |
Created at: April 9, 2026, 9:25 p.m.