Triple
T4881500
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Maylene, Alabama |
E109336
|
entity |
| Predicate | near |
P350
|
FINISHED |
| Object | Pelham, Alabama |
E19009
|
NE FINISHED |
How this triple was built (2 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: Pelham, Alabama | Statement: [Maylene, Alabama, near, Pelham, Alabama]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Pelham, Alabama Context triple: [Maylene, Alabama, near, Pelham, Alabama]
-
A.
Pelham, Alabama
chosen
Pelham, Alabama is a suburban city in Shelby County known for its proximity to Birmingham and attractions like Oak Mountain State Park.
-
B.
Bessemer, Alabama
Bessemer, Alabama is an industrial city in Jefferson County that forms part of the greater Birmingham region in central Alabama.
-
C.
Pell City, Alabama
Pell City, Alabama is a small city in central Alabama known as one of the principal communities in St. Clair County and a gateway to nearby Logan Martin Lake.
-
D.
Trussville, Alabama
Trussville, Alabama is a growing suburban city in Jefferson and St. Clair counties known for its family-friendly neighborhoods, schools, and proximity to Birmingham.
-
E.
Gadsden, Alabama
Gadsden, Alabama is a small industrial city in northeastern Alabama known historically for its manufacturing plants and labor history.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (3 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_69bd440e9d64819083e82cf33b4d9570 |
completed | March 20, 2026, 12:56 p.m. |
| NER | Named-entity recognition | batch_69bd6dde6fcc8190a5aa7587f85632bd |
completed | March 20, 2026, 3:55 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69bee05dd0388190b6e64256ba5cf5fc |
completed | March 21, 2026, 6:15 p.m. |
Created at: March 20, 2026, 1:27 p.m.