Triple
T17434190
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Valdosta State University |
E423957
|
entity |
| Predicate | locatedIn |
P40
|
FINISHED |
| Object | Valdosta, Georgia |
—
|
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: Valdosta, Georgia | Statement: [Valdosta State University, locatedIn, Valdosta, Georgia]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Valdosta, Georgia Context triple: [Valdosta State University, locatedIn, Valdosta, Georgia]
-
A.
Valdosta, Georgia
chosen
Valdosta, Georgia is a small city in southern Georgia known as a regional hub for education, retail, and sports, particularly high school football.
-
B.
Odum, Georgia
Odum, Georgia is a small town in southeastern Georgia, United States, located in Wayne County.
-
C.
Alvaton, Georgia
Alvaton, Georgia is an unincorporated rural community located in Meriwether County in the west-central part of the state.
-
D.
Jakin, Georgia
Jakin, Georgia is a small rural city in southwestern Georgia known for its agricultural surroundings and close-knit community.
-
E.
Vidalia, Georgia
Vidalia, Georgia is a small city in southeastern Georgia best known as the namesake and primary production area of the famous sweet Vidalia onions.
- 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_69d889d88b6081908bada047f5b3ba51 |
completed | April 10, 2026, 5:25 a.m. |
| NER | Named-entity recognition | batch_69e4490274608190a60ada9aeb246eff |
completed | April 19, 2026, 3:16 a.m. |
Created at: April 10, 2026, 5:46 a.m.