Triple
T12658563
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Lanett, Alabama |
E302352
|
entity |
| Predicate | adjacentTo |
P224
|
FINISHED |
| Object | Valley, Alabama |
E286858
|
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: Valley, Alabama | Statement: [Lanett, Alabama, adjacentTo, Valley, Alabama]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Valley, Alabama Context triple: [Lanett, Alabama, adjacentTo, Valley, Alabama]
-
A.
Valley, Alabama
chosen
Valley, Alabama is a small city in eastern Alabama near the Georgia border, historically rooted in textile manufacturing and the Chattahoochee River mill villages.
-
B.
Valley Head, Alabama
Valley Head, Alabama is a small community in northeastern Alabama known for its rural setting near Lookout Mountain in DeKalb County.
-
C.
Valley Grande, Alabama
Valley Grande, Alabama is a small incorporated city in Dallas County, near Selma, known primarily as a residential community formed in the early 2000s.
-
D.
Riverside, Alabama
Riverside, Alabama is a small community in St. Clair County known for its location along the Coosa River in central Alabama.
-
E.
Courtland, Alabama
Courtland, Alabama is a small historic town in northern Alabama known for its 19th-century architecture and role in the region’s early transportation and cotton economy.
- 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_69d7bded71a88190bb76e2413af9ea66 |
completed | April 9, 2026, 2:55 p.m. |
| NER | Named-entity recognition | batch_69d961636db8819099c438b24bcfd866 |
completed | April 10, 2026, 8:45 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f71f082b6481909950c8c4cb854440 |
completed | May 3, 2026, 10:10 a.m. |
Created at: April 9, 2026, 5:19 p.m.