Triple
T1993022
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Baldwin County, Alabama |
E43292
|
entity |
| Predicate | hasTown |
P847
|
FINISHED |
| Object |
Loxley, Alabama
Loxley, Alabama is a small town in southern Alabama known for its rural character and location within the rapidly growing Baldwin County near the Gulf Coast.
|
E224308
|
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: Loxley, Alabama | Statement: [Baldwin County, Alabama, hasTown, Loxley, Alabama]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Loxley, Alabama Context triple: [Baldwin County, Alabama, hasTown, Loxley, Alabama]
-
A.
Lawley, Alabama
Lawley, Alabama is an unincorporated rural community located in Bibb County in the central part of the state.
-
B.
Locust Fork, Alabama
Locust Fork, Alabama is a small rural town in Blount County known for its scenic river, outdoor recreation, and tight-knit community.
-
C.
Westover, Alabama
Westover, Alabama is a small town in central Alabama that forms part of the Birmingham–Hoover metropolitan area.
-
D.
Tarrant, Alabama
Tarrant, Alabama is a small industrial city in Jefferson County, near Birmingham, known historically for its steel and manufacturing operations.
-
E.
Wilton, Alabama
Wilton, Alabama is a small town 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: Loxley, Alabama Triple: [Baldwin County, Alabama, hasTown, Loxley, Alabama]
Generated description
Loxley, Alabama is a small town in southern Alabama known for its rural character and location within the rapidly growing Baldwin County near the Gulf Coast.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Loxley, Alabama Target entity description: Loxley, Alabama is a small town in southern Alabama known for its rural character and location within the rapidly growing Baldwin County near the Gulf Coast.
-
A.
Lawley, Alabama
Lawley, Alabama is an unincorporated rural community located in Bibb County in the central part of the state.
-
B.
Locust Fork, Alabama
Locust Fork, Alabama is a small rural town in Blount County known for its scenic river, outdoor recreation, and tight-knit community.
-
C.
Westover, Alabama
Westover, Alabama is a small town in central Alabama that forms part of the Birmingham–Hoover metropolitan area.
-
D.
Tarrant, Alabama
Tarrant, Alabama is a small industrial city in Jefferson County, near Birmingham, known historically for its steel and manufacturing operations.
-
E.
Wilton, Alabama
Wilton, Alabama is a small town 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_69a88714cf2c819081644be450b8356e |
completed | March 4, 2026, 7:25 p.m. |
| NER | Named-entity recognition | batch_69abb86275c88190bed869e9d3cf7ed5 |
completed | March 7, 2026, 5:32 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ae0ad7c254819091159c5362e7a293 |
completed | March 8, 2026, 11:48 p.m. |
| NEDg | Description generation | batch_69ae0b63b85c819096fc8ad12ace4d22 |
completed | March 8, 2026, 11:50 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69ae0bc55fcc8190bf117ef1328b8a76 |
completed | March 8, 2026, 11:52 p.m. |
Created at: March 4, 2026, 7:37 p.m.