Triple
T12048860
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Valley, Alabama |
E286858
|
entity |
| Predicate | adjacentTo |
P224
|
FINISHED |
| Object | Lanett, Alabama |
E302352
|
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: Lanett, Alabama | Statement: [Valley, Alabama, adjacentTo, Lanett, Alabama]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Lanett, Alabama Context triple: [Valley, Alabama, adjacentTo, Lanett, Alabama]
-
A.
Lanett, Alabama
chosen
Lanett, Alabama is a small city in eastern Alabama near the Georgia border, historically tied to the textile industry and the Chattahoochee River region.
-
B.
Langston, Alabama
Langston, Alabama is a small town in Jackson County known for its location along the shores of Lake Guntersville in northeastern Alabama.
-
C.
Brewton, Alabama
Brewton, Alabama is a small city in Escambia County known for its timber industry, historic downtown, and regional transportation links in southern Alabama.
-
D.
Sylvania, Alabama
Sylvania, Alabama is a small rural town in northeastern Alabama known for its close-knit community and location atop Sand Mountain.
-
E.
Ensley, Alabama
Ensley, Alabama is a historic industrial neighborhood in Birmingham that developed as a major steelmaking and manufacturing center in the late 19th and early 20th centuries.
- 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_69d6ab4780948190bdb9f7620c2ac27e |
completed | April 8, 2026, 7:23 p.m. |
| NER | Named-entity recognition | batch_69d904211b588190bfc7603e5b33dcb7 |
completed | April 10, 2026, 2:07 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f67c5e9fbc819097cf9550378eabee |
completed | May 2, 2026, 10:36 p.m. |
Created at: April 8, 2026, 9:47 p.m.