Triple
T820573
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Alabama |
E17742
|
entity |
| Predicate | containsCity |
P294
|
FINISHED |
| Object |
Saraland
Saraland is a suburban city in Mobile County, Alabama, known as part of the Mobile metropolitan area and for its residential communities and local industry.
|
E146482
|
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: Saraland | Statement: [Alabama, containsCity, Saraland]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Saraland Context triple: [Alabama, containsCity, Saraland]
-
A.
Fairhope
Fairhope is a small, picturesque city on the eastern shore of Mobile Bay in southern Alabama, known for its arts community, scenic waterfront, and historic downtown.
-
B.
Opelika
Opelika is a city in eastern Alabama known for its proximity to Auburn and its role as a regional center for industry and commerce.
-
C.
Vincent, Alabama
Vincent, Alabama is a small town in central Alabama known for its rural character and location within the Birmingham–Hoover metropolitan area.
-
D.
Fayetteville, Alabama
Fayetteville, Alabama is an unincorporated rural community located in Shelby County in the central part of the state.
-
E.
Cullman
Cullman is a small city in north-central Alabama known for its German heritage, historic downtown, and proximity to Smith Lake.
- 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: Saraland Triple: [Alabama, containsCity, Saraland]
Generated description
Saraland is a suburban city in Mobile County, Alabama, known as part of the Mobile metropolitan area and for its residential communities and local industry.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Saraland Target entity description: Saraland is a suburban city in Mobile County, Alabama, known as part of the Mobile metropolitan area and for its residential communities and local industry.
-
A.
Fairhope
Fairhope is a small, picturesque city on the eastern shore of Mobile Bay in southern Alabama, known for its arts community, scenic waterfront, and historic downtown.
-
B.
Opelika
Opelika is a city in eastern Alabama known for its proximity to Auburn and its role as a regional center for industry and commerce.
-
C.
Vincent, Alabama
Vincent, Alabama is a small town in central Alabama known for its rural character and location within the Birmingham–Hoover metropolitan area.
-
D.
Fayetteville, Alabama
Fayetteville, Alabama is an unincorporated rural community located in Shelby County in the central part of the state.
-
E.
Cullman
Cullman is a small city in north-central Alabama known for its German heritage, historic downtown, and proximity to Smith Lake.
- 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_69aca2caba8c81908ef693677acbd4cc |
completed | March 7, 2026, 10:12 p.m. |
| NEDg | Description generation | batch_69aca3a539848190a17e8bd578bc237a |
completed | March 7, 2026, 10:16 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69aca4158bbc8190bd1f5799715e3e4c |
completed | March 7, 2026, 10:17 p.m. |
Created at: March 1, 2026, 7:38 p.m.