Triple
T4941397
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Wheeler County, Georgia |
E110942
|
entity |
| Predicate | hasLargestCity |
P235
|
FINISHED |
| Object | Alamo, Georgia |
E481297
|
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: Alamo, Georgia | Statement: [Wheeler County, Georgia, hasLargestCity, Alamo, Georgia]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Alamo, Georgia Context triple: [Wheeler County, Georgia, hasLargestCity, Alamo, Georgia]
-
A.
Alamo, Georgia
chosen
Alamo, Georgia is a small city in southeastern Georgia that serves as the administrative and commercial center of Wheeler County.
-
B.
De Soto, Georgia
De Soto, Georgia is a small rural city located in southwestern Georgia in the United States.
-
C.
Siloam, Georgia
Siloam, Georgia is a small historic town in Greene County known for its rural character and Southern heritage.
-
D.
Lamar, Georgia
Lamar, Georgia is a small unincorporated rural community located in Sumter County in the state of Georgia, United States.
-
E.
Bogart, Georgia
Bogart, Georgia is a small town in northeastern Georgia located near the Athens metropolitan area.
- 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_69bd4415eee08190bdce70276e56a5b4 |
completed | March 20, 2026, 12:56 p.m. |
| NER | Named-entity recognition | batch_69bd708ba9888190baf4e79c8f159e9f |
completed | March 20, 2026, 4:06 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69be81c950388190a5a1ed856c4f0830 |
completed | March 21, 2026, 11:32 a.m. |
Created at: March 20, 2026, 1:31 p.m.