Triple
T820639
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Alabama |
E17742
|
entity |
| Predicate | containsCounty |
P5971
|
FINISHED |
| Object |
Franklin County
Franklin County is a county-level jurisdiction located in the U.S. state of Alabama.
|
E213487
|
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: Franklin County | Statement: [Alabama, containsCounty, Franklin County]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Franklin County Context triple: [Alabama, containsCounty, Franklin County]
-
A.
Franklin County
Franklin County is a largely rural county in northwestern Massachusetts known for its small towns, forests, and outdoor recreation along the Connecticut River.
-
B.
Clarke County
Clarke County is a rural county in southwestern Alabama known for its timber industry, river landscapes, and historic small towns.
-
C.
Marion County
Marion County is a county in northeastern Missouri known for including the historic Mississippi River city of Hannibal, boyhood home of author Mark Twain.
-
D.
Marion County
Marion County is an Indiana county that encompasses and is largely defined by the city of Indianapolis, the state’s capital and largest city.
-
E.
Marion County
Marion County is a rural county in west-central Georgia known for its small communities, agricultural landscape, and location along key east–west transportation routes.
- 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: Franklin County Triple: [Alabama, containsCounty, Franklin County]
Generated description
Franklin County is a county-level jurisdiction located in the U.S. state of Alabama.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Franklin County Target entity description: Franklin County is a county-level jurisdiction located in the U.S. state of Alabama.
-
A.
Franklin County
Franklin County is a largely rural county in northwestern Massachusetts known for its small towns, forests, and outdoor recreation along the Connecticut River.
-
B.
Clarke County
Clarke County is a rural county in southwestern Alabama known for its timber industry, river landscapes, and historic small towns.
-
C.
Marion County
Marion County is a county in northeastern Missouri known for including the historic Mississippi River city of Hannibal, boyhood home of author Mark Twain.
-
D.
Marion County
Marion County is an Indiana county that encompasses and is largely defined by the city of Indianapolis, the state’s capital and largest city.
-
E.
Marion County
Marion County is a rural county in west-central Georgia known for its small communities, agricultural landscape, and location along key east–west transportation routes.
- 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_69a4937bcaac8190a322524ac6f45a5a |
completed | March 1, 2026, 7:28 p.m. |
| NER | Named-entity recognition | batch_69a4ab6698d881908d8c5d91259f97ec |
completed | March 1, 2026, 9:11 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69adeab03e388190b7b5c7c5802bf3c1 |
completed | March 8, 2026, 9:31 p.m. |
| NEDg | Description generation | batch_69adeb8a0a64819087e4505089e93093 |
completed | March 8, 2026, 9:35 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69adec6fcaac8190b43d0cd1aa613c95 |
completed | March 8, 2026, 9:38 p.m. |
Created at: March 1, 2026, 7:38 p.m.