Triple
T3293837
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Central Mississippi |
E69162
|
entity |
| Predicate | contains |
P35
|
FINISHED |
| Object |
Scott County
Scott County is a rural county in the U.S. state of Mississippi known for its agricultural economy and small-town communities.
|
E437420
|
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: Scott County | Statement: [Central Mississippi, contains, Scott County]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Scott County Context triple: [Central Mississippi, contains, Scott County]
-
A.
Harrison County
Harrison County is a rural county in western Iowa known for its agricultural landscape, small communities, and location along the Missouri River.
-
B.
Marshall County
Marshall County is a county in northern Alabama known for its scenic location around Lake Guntersville and its mix of small towns and rural communities.
-
C.
Logan County
Logan County is a largely rural, coal-mining region in southern West Virginia known for its Appalachian landscape and history.
-
D.
Logan County
Logan County is a largely rural county in northeastern Colorado known for its agricultural economy and small communities such as its county seat, Sterling.
-
E.
Butler County
Butler County is a rural county in south-central Alabama known for its pine forests, small towns, and location along the Interstate 65 corridor.
- 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: Scott County Triple: [Central Mississippi, contains, Scott County]
Generated description
Scott County is a rural county in the U.S. state of Mississippi known for its agricultural economy and small-town communities.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Scott County Target entity description: Scott County is a rural county in the U.S. state of Mississippi known for its agricultural economy and small-town communities.
-
A.
Harrison County
Harrison County is a rural county in western Iowa known for its agricultural landscape, small communities, and location along the Missouri River.
-
B.
Marshall County
Marshall County is a county in northern Alabama known for its scenic location around Lake Guntersville and its mix of small towns and rural communities.
-
C.
Logan County
Logan County is a largely rural, coal-mining region in southern West Virginia known for its Appalachian landscape and history.
-
D.
Logan County
Logan County is a largely rural county in northeastern Colorado known for its agricultural economy and small communities such as its county seat, Sterling.
-
E.
Butler County
Butler County is a rural county in south-central Alabama known for its pine forests, small towns, and location along the Interstate 65 corridor.
- 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_69ad859d45748190b0742408c954b39f |
completed | March 8, 2026, 2:20 p.m. |
| NER | Named-entity recognition | batch_69adb074f35081909dd3c8a09544b5f1 |
completed | March 8, 2026, 5:23 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b5f580e2488190bce70398502e11d4 |
completed | March 14, 2026, 11:55 p.m. |
| NEDg | Description generation | batch_69b5f75aa5a08190a5e8a9b56243ffeb |
completed | March 15, 2026, 12:03 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69b5f7887cb08190bf498eefc3627bfa |
completed | March 15, 2026, 12:04 a.m. |
Created at: March 8, 2026, 3:10 p.m.