Triple
T820564
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Alabama |
E17742
|
entity |
| Predicate | containsCity |
P294
|
FINISHED |
| Object |
Tuscumbia
Tuscumbia is a small historic city in northwestern Alabama, best known as the birthplace of Helen Keller and for its role in the early development of the region.
|
E144724
|
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: Tuscumbia | Statement: [Alabama, containsCity, Tuscumbia]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Tuscumbia Context triple: [Alabama, containsCity, Tuscumbia]
-
A.
Anniston, Alabama
Anniston, Alabama is a small city in northeastern Alabama known historically as a planned industrial community and gateway to the nearby Appalachian foothills.
-
B.
Phenix City
Phenix City is a city in eastern Alabama located along the Chattahoochee River, directly across from Columbus, Georgia.
-
C.
Cullman
Cullman is a small city in north-central Alabama known for its German heritage, historic downtown, and proximity to Smith Lake.
-
D.
Kingston, Alabama
Kingston, Alabama is an unincorporated rural community located in Shelby County in the central part of the state.
-
E.
Decatur, Alabama
Decatur, Alabama is a city in northern Alabama known as a regional industrial and transportation hub along the Tennessee River.
- 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: Tuscumbia Triple: [Alabama, containsCity, Tuscumbia]
Generated description
Tuscumbia is a small historic city in northwestern Alabama, best known as the birthplace of Helen Keller and for its role in the early development of the region.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Tuscumbia Target entity description: Tuscumbia is a small historic city in northwestern Alabama, best known as the birthplace of Helen Keller and for its role in the early development of the region.
-
A.
Anniston, Alabama
Anniston, Alabama is a small city in northeastern Alabama known historically as a planned industrial community and gateway to the nearby Appalachian foothills.
-
B.
Phenix City
Phenix City is a city in eastern Alabama located along the Chattahoochee River, directly across from Columbus, Georgia.
-
C.
Cullman
Cullman is a small city in north-central Alabama known for its German heritage, historic downtown, and proximity to Smith Lake.
-
D.
Kingston, Alabama
Kingston, Alabama is an unincorporated rural community located in Shelby County in the central part of the state.
-
E.
Decatur, Alabama
Decatur, Alabama is a city in northern Alabama known as a regional industrial and transportation hub along the Tennessee River.
- 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_69a4937bcaac8190a322524ac6f45a5a |
completed | March 1, 2026, 7:28 p.m. |
| NER | Named-entity recognition | batch_69a4ab6698d881908d8c5d91259f97ec |
completed | March 1, 2026, 9:11 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ac99669a1481909fa42162ffee2d7b |
completed | March 7, 2026, 9:32 p.m. |
| NEDg | Description generation | batch_69ac9a13e9548190ae1fbfeba3326cd5 |
completed | March 7, 2026, 9:35 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69ac9a96d4f081908e608a3f247bbfb2 |
completed | March 7, 2026, 9:37 p.m. |
Created at: March 1, 2026, 7:38 p.m.