Triple
T7842179
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Morgan County, Alabama |
E181831
|
entity |
| Predicate | contains |
P35
|
FINISHED |
| Object |
Petteyton, Alabama
Petteyton, Alabama is a small unincorporated community located in Morgan County in the northern part of the state.
|
E722351
|
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: Petteyton, Alabama | Statement: [Morgan County, Alabama, contains, Petteyton, Alabama]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Petteyton, Alabama Context triple: [Morgan County, Alabama, contains, Petteyton, Alabama]
-
A.
Dutton, Alabama
Dutton, Alabama is a small rural town located in northeastern Alabama within the Appalachian region.
-
B.
Shorterville, Alabama
Shorterville, Alabama is a small unincorporated community and rural locality in eastern Henry County near the Chattahoochee River.
-
C.
Parrish, Alabama
Parrish, Alabama is a small town in north-central Alabama known historically for its ties to the coal mining industry and its rural community character.
-
D.
Townley, Alabama
Townley, Alabama is a small unincorporated community located in Walker County in the north-central part of the state.
-
E.
Tarrant, Alabama
Tarrant, Alabama is a small industrial city in Jefferson County, near Birmingham, known historically for its steel and manufacturing operations.
- 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: Petteyton, Alabama Triple: [Morgan County, Alabama, contains, Petteyton, Alabama]
Generated description
Petteyton, Alabama is a small unincorporated community located in Morgan County in the northern part of the state.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Petteyton, Alabama Target entity description: Petteyton, Alabama is a small unincorporated community located in Morgan County in the northern part of the state.
-
A.
Dutton, Alabama
Dutton, Alabama is a small rural town located in northeastern Alabama within the Appalachian region.
-
B.
Shorterville, Alabama
Shorterville, Alabama is a small unincorporated community and rural locality in eastern Henry County near the Chattahoochee River.
-
C.
Parrish, Alabama
Parrish, Alabama is a small town in north-central Alabama known historically for its ties to the coal mining industry and its rural community character.
-
D.
Townley, Alabama
Townley, Alabama is a small unincorporated community located in Walker County in the north-central part of the state.
-
E.
Tarrant, Alabama
Tarrant, Alabama is a small industrial city in Jefferson County, near Birmingham, known historically for its steel and manufacturing operations.
- 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_69ca8285d6488190a95d4c02d7354b53 |
completed | March 30, 2026, 2:02 p.m. |
| NER | Named-entity recognition | batch_69cb14c6cbe48190b73df491de1004c3 |
completed | March 31, 2026, 12:26 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69cd66ecea6c819097a74513c5d84193 |
completed | April 1, 2026, 6:41 p.m. |
| NEDg | Description generation | batch_69cd6c1f75748190b119acd0d92f2ef9 |
completed | April 1, 2026, 7:03 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69cd7da4f3a0819080eed3d03c293789 |
completed | April 1, 2026, 8:18 p.m. |
Created at: March 30, 2026, 4:48 p.m.