Triple
T905385
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Talbot County, Georgia |
E19535
|
entity |
| Predicate | hasSettlement |
P1068
|
FINISHED |
| Object | Woodland, Georgia |
E148019
|
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: Woodland, Georgia | Statement: [Talbot County, Georgia, hasSettlement, Woodland, Georgia]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Woodland, Georgia Context triple: [Talbot County, Georgia, hasSettlement, Woodland, Georgia]
-
A.
Woodland, Georgia
chosen
Woodland, Georgia is a small city in west-central Georgia known for its rural character and location within Talbot County.
-
B.
Woodbury, Georgia
Woodbury, Georgia is a small city in Meriwether County known for its rural character and historic railroad and agricultural roots in west-central Georgia.
-
C.
Richland, Georgia
Richland, Georgia is a small city in Stewart County in southwestern Georgia, known historically as a rural community and regional crossroads.
-
D.
Woolsey, Georgia
Woolsey, Georgia is a small incorporated town located in Fayette County in the U.S. state of Georgia.
-
E.
Forest Park, Georgia
Forest Park, Georgia is a small suburban city in the Atlanta metropolitan area known for its proximity to Hartsfield–Jackson Atlanta International Airport and its diverse residential communities.
- 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_69a4939e889c8190ac148b3ac1a7f90b |
completed | March 1, 2026, 7:29 p.m. |
| NER | Named-entity recognition | batch_69a4b2caf4088190ab05b22531ecec43 |
completed | March 1, 2026, 9:42 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ace540122c8190824f6de78dc1a411 |
completed | March 8, 2026, 2:56 a.m. |
Created at: March 1, 2026, 7:39 p.m.