Triple
T13948839
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Walker County, Georgia |
E335461
|
entity |
| Predicate | contains |
P35
|
FINISHED |
| Object | LaFayette, Georgia |
E1071464
|
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: LaFayette, Georgia | Statement: [Walker County, Georgia, contains, LaFayette, Georgia]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: LaFayette, Georgia Context triple: [Walker County, Georgia, contains, LaFayette, Georgia]
-
A.
LaFayette, Georgia
chosen
LaFayette, Georgia is a small city in the northwestern part of the state, serving as a local hub for government, commerce, and community life in the surrounding rural area.
-
B.
Calhoun, Georgia
Calhoun, Georgia is a small city in northwest Georgia known as the county seat of Gordon County and a regional hub along Interstate 75.
-
C.
Fortson, Georgia
Fortson, Georgia is an unincorporated community in Muscogee County known primarily as a residential suburb of Columbus.
-
D.
De Soto, Georgia
De Soto, Georgia is a small rural city located in southwestern Georgia in the United States.
-
E.
Vidette, Georgia
Vidette, Georgia is a small unincorporated rural community located in Burke County in the eastern part of the state.
- 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_69d81c6081b88190b53e317c3370c8fe |
completed | April 9, 2026, 9:38 p.m. |
| NER | Named-entity recognition | batch_69de2e12171c8190b95746bdd4845def |
completed | April 14, 2026, 12:07 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fcb64df57c8190bc402c5ec268eaac |
completed | May 7, 2026, 3:57 p.m. |
Created at: April 9, 2026, 10:17 p.m.