Triple
T13647704
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Fayette County Public Schools |
E326146
|
entity |
| Predicate | hasSchoolIn |
P110979
|
FINISHED |
| Object | Woolsey, Georgia |
E65255
|
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: Woolsey, Georgia | Statement: [Fayette County Public Schools, hasSchoolIn, Woolsey, Georgia]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Woolsey, Georgia Context triple: [Fayette County Public Schools, hasSchoolIn, Woolsey, Georgia]
-
A.
Woolsey, Georgia
chosen
Woolsey, Georgia is a small incorporated town located in Fayette County in the U.S. state of Georgia.
-
B.
Wadley, Georgia
Wadley, Georgia is a small city in east-central Georgia known historically as a railroad and agricultural community within the Augusta metropolitan area.
-
C.
Lovett, Georgia
Lovett, Georgia is a small unincorporated rural community located in Laurens County in the central part of the state.
-
D.
Whigham, Georgia
Whigham, Georgia is a small rural city in the southwestern part of the state known for its tight-knit community and agricultural surroundings.
-
E.
Williamson, Georgia
Williamson, Georgia is a small rural city located in Pike County in the west-central part of the U.S. state of Georgia.
- 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_69d8076beddc8190a53156f5bea77f5e |
completed | April 9, 2026, 8:09 p.m. |
| NER | Named-entity recognition | batch_69dbc8746458819095ec1ba3c01ef31b |
completed | April 12, 2026, 4:29 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f78af948408190bca7f2e46863391e |
completed | May 3, 2026, 5:50 p.m. |
Created at: April 9, 2026, 9:52 p.m.