Triple
T19600776
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | AL 3 |
E470468
|
entity |
| Predicate | passesThrough |
P225
|
FINISHED |
| Object | Clanton, Alabama |
—
|
NE NERFINISHED |
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: Clanton, Alabama | Statement: [AL 3, passesThrough, Clanton, Alabama]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Clanton, Alabama Context triple: [AL 3, passesThrough, Clanton, Alabama]
-
A.
Clanton, Alabama
chosen
Clanton, Alabama is a small city in central Alabama known for its peach production and location between Birmingham and Montgomery.
-
B.
Clanton
Clanton is a surname most notably associated with the Old West outlaw family involved in the events surrounding the Gunfight at the O.K. Corral.
-
C.
Clanton, Mississippi
Clanton, Mississippi is a fictional small Southern town created by John Grisham that serves as the primary setting for several of his legal thrillers.
-
D.
Cullman
Cullman is a small city in north-central Alabama known for its German heritage, historic downtown, and proximity to Smith Lake.
-
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 (2 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_69d8e510024481908415c0d616fa6186 |
completed | April 10, 2026, 11:54 a.m. |
| NER | Named-entity recognition | batch_69e6407df98c8190b258ac3b690fe4b1 |
completed | April 20, 2026, 3:04 p.m. |
Created at: April 10, 2026, 1:43 p.m.