Triple
T16871741
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Monroe County, Alabama |
E421183
|
entity |
| Predicate | contains |
P35
|
FINISHED |
| Object |
Vredenburgh, Alabama
Vredenburgh, Alabama is a small rural town located in Monroe County in the southern part of the state.
|
E1240671
|
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: Vredenburgh, Alabama | Statement: [Monroe County, Alabama, contains, Vredenburgh, Alabama]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Vredenburgh, Alabama Context triple: [Monroe County, Alabama, contains, Vredenburgh, Alabama]
-
A.
Brundidge, Alabama
Brundidge, Alabama is a small city in southeastern Alabama known historically for its peanut butter production and rural community character.
-
B.
Shorterville, Alabama
Shorterville, Alabama is a small unincorporated community and rural locality in eastern Henry County near the Chattahoochee River.
-
C.
Eldridge, Alabama
Eldridge, Alabama is a small rural town located in Walker County in the northwestern part of the state.
-
D.
Dutton, Alabama
Dutton, Alabama is a small rural town located in northeastern Alabama within the Appalachian region.
-
E.
Courtland, Alabama
Courtland, Alabama is a small historic town in northern Alabama known for its 19th-century architecture and role in the region’s early transportation and cotton economy.
- 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: Vredenburgh, Alabama Triple: [Monroe County, Alabama, contains, Vredenburgh, Alabama]
Generated description
Vredenburgh, Alabama is a small rural town located in Monroe County in the southern part of the state.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Vredenburgh, Alabama Target entity description: Vredenburgh, Alabama is a small rural town located in Monroe County in the southern part of the state.
-
A.
Brundidge, Alabama
Brundidge, Alabama is a small city in southeastern Alabama known historically for its peanut butter production and rural community character.
-
B.
Shorterville, Alabama
Shorterville, Alabama is a small unincorporated community and rural locality in eastern Henry County near the Chattahoochee River.
-
C.
Eldridge, Alabama
Eldridge, Alabama is a small rural town located in Walker County in the northwestern part of the state.
-
D.
Dutton, Alabama
Dutton, Alabama is a small rural town located in northeastern Alabama within the Appalachian region.
-
E.
Courtland, Alabama
Courtland, Alabama is a small historic town in northern Alabama known for its 19th-century architecture and role in the region’s early transportation and cotton economy.
- 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_69d889d470fc8190b4aec199636c0c56 |
completed | April 10, 2026, 5:25 a.m. |
| NER | Named-entity recognition | batch_69e3b7f31b448190a21e3e4d1a0d2f73 |
completed | April 18, 2026, 4:57 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a00cfc6e77c8190853f747687299fce |
completed | May 10, 2026, 6:34 p.m. |
| NEDg | Description generation | batch_6a00d048da5c8190ba7b96665c4e0f8b |
completed | May 10, 2026, 6:36 p.m. |
| NED2 | Entity disambiguation (via description) | batch_6a00d0d23c248190bf0cfedd846f2161 |
completed | May 10, 2026, 6:39 p.m. |
Created at: April 10, 2026, 5:29 a.m.