Triple
T8848900
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Marion County, Alabama |
E210582
|
entity |
| Predicate | containsSettlement |
P847
|
FINISHED |
| Object |
Twin, Alabama
Twin, Alabama is a small rural town located in Marion County in the northwestern part of the state.
|
E763480
|
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: Twin, Alabama | Statement: [Marion County, Alabama, containsSettlement, Twin, Alabama]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Twin, Alabama Context triple: [Marion County, Alabama, containsSettlement, Twin, Alabama]
-
A.
Tyler, Alabama
Tyler, Alabama is a small unincorporated rural community located in Dallas County in the central part of the state.
-
B.
Taylor, Alabama
Taylor, Alabama is a small town located in southeastern Alabama that is part of the Dothan metropolitan area.
-
C.
Grant, Alabama
Grant, Alabama is a small town in Marshall County known as the closest community to Cathedral Caverns State Park in the Appalachian region of northern Alabama.
-
D.
Brent, Alabama
Brent, Alabama is a small city in central Alabama known for its rural character and location within Bibb County.
-
E.
Webb, Alabama
Webb, Alabama is a small town located in southeastern Alabama within the Dothan metropolitan area.
- 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: Twin, Alabama Triple: [Marion County, Alabama, containsSettlement, Twin, Alabama]
Generated description
Twin, Alabama is a small rural town located in Marion County in the northwestern part of the state.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Twin, Alabama Target entity description: Twin, Alabama is a small rural town located in Marion County in the northwestern part of the state.
-
A.
Tyler, Alabama
Tyler, Alabama is a small unincorporated rural community located in Dallas County in the central part of the state.
-
B.
Taylor, Alabama
Taylor, Alabama is a small town located in southeastern Alabama that is part of the Dothan metropolitan area.
-
C.
Grant, Alabama
Grant, Alabama is a small town in Marshall County known as the closest community to Cathedral Caverns State Park in the Appalachian region of northern Alabama.
-
D.
Brent, Alabama
Brent, Alabama is a small city in central Alabama known for its rural character and location within Bibb County.
-
E.
Webb, Alabama
Webb, Alabama is a small town located in southeastern Alabama within the Dothan metropolitan area.
- 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_69ca838a424c8190b1ecac115c2927e7 |
completed | March 30, 2026, 2:07 p.m. |
| NER | Named-entity recognition | batch_69cc60aa6db0819097c3257499200afc |
completed | April 1, 2026, 12:02 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69cfa08315fc8190b901adfc76348e18 |
completed | April 3, 2026, 11:12 a.m. |
| NEDg | Description generation | batch_69cfa2a53044819099aa7bb401cd4ba6 |
completed | April 3, 2026, 11:21 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69cfa3a03b7c819085fa31d853c79392 |
completed | April 3, 2026, 11:25 a.m. |
Created at: March 30, 2026, 6:49 p.m.