Triple
T7535531
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Jefferson County, Alabama |
E178139
|
entity |
| Predicate | contains |
P35
|
FINISHED |
| Object |
Kimberly, Alabama
Kimberly, Alabama is a small suburban city in north Jefferson County that is part of the Birmingham metropolitan area.
|
E691411
|
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: Kimberly, Alabama | Statement: [Jefferson County, Alabama, contains, Kimberly, Alabama]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Kimberly, Alabama Context triple: [Jefferson County, Alabama, contains, Kimberly, Alabama]
-
A.
Steele, Alabama
Steele, Alabama is a small town in northeastern Alabama known for its rural character and location within St. Clair County.
-
B.
Jemison, Alabama
Jemison, Alabama is a small city in central Alabama known for its rural character and location along Interstate 65 between Birmingham and Montgomery.
-
C.
Billingsley, Alabama
Billingsley, Alabama is a small rural town in central Alabama known for its close-knit community and agricultural surroundings.
-
D.
Sylvania, Alabama
Sylvania, Alabama is a small rural town in northeastern Alabama known for its close-knit community and location atop Sand Mountain.
-
E.
Kingston, Alabama
Kingston, Alabama is an unincorporated rural community located in Shelby County in the central 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: Kimberly, Alabama Triple: [Jefferson County, Alabama, contains, Kimberly, Alabama]
Generated description
Kimberly, Alabama is a small suburban city in north Jefferson County that is part of the Birmingham metropolitan area.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Kimberly, Alabama Target entity description: Kimberly, Alabama is a small suburban city in north Jefferson County that is part of the Birmingham metropolitan area.
-
A.
Steele, Alabama
Steele, Alabama is a small town in northeastern Alabama known for its rural character and location within St. Clair County.
-
B.
Jemison, Alabama
Jemison, Alabama is a small city in central Alabama known for its rural character and location along Interstate 65 between Birmingham and Montgomery.
-
C.
Billingsley, Alabama
Billingsley, Alabama is a small rural town in central Alabama known for its close-knit community and agricultural surroundings.
-
D.
Sylvania, Alabama
Sylvania, Alabama is a small rural town in northeastern Alabama known for its close-knit community and location atop Sand Mountain.
-
E.
Kingston, Alabama
Kingston, Alabama is an unincorporated rural community located in Shelby County in the central 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_69c69f2acdbc8190b5a8320168c1d0ba |
completed | March 27, 2026, 3:15 p.m. |
| NER | Named-entity recognition | batch_69c6f84c13208190971096a0b81b0ff2 |
completed | March 27, 2026, 9:36 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c98564d32881908ebdeb2aa41da4f7 |
completed | March 29, 2026, 8:02 p.m. |
| NEDg | Description generation | batch_69c985ed905481908d3f90df4de2247d |
completed | March 29, 2026, 8:05 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69c9863c13ac8190bacae1b89b9f1326 |
completed | March 29, 2026, 8:06 p.m. |
Created at: March 27, 2026, 3:47 p.m.