Triple
T10596213
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Knoxville, Georgia |
E250118
|
entity |
| Predicate | countySeatStatus |
P13325
|
FINISHED |
| Object | historic county seat of Crawford County, Georgia |
—
|
LITERAL 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: historic county seat of Crawford County, Georgia | Statement: [Knoxville, Georgia, countySeatStatus, historic county seat of Crawford County, Georgia]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: countySeatStatus Context triple: [Knoxville, Georgia, countySeatStatus, historic county seat of Crawford County, Georgia]
-
A.
countySeat
Indicates that one place serves as the administrative center or capital of a county.
-
B.
countySeatFunction
chosen
Indicates that one place serves as the administrative center or seat of government for a county.
-
C.
countySeatLocatedAt
Indicates that a county’s administrative center or capital is located at a specific place or settlement.
-
D.
sharesCountySeatStatusWith
Indicates that two entities have the same status with respect to serving as the county seat (e.g., both are county seats or both are not).
-
E.
hasCountySeatCity
Indicates that a county has a specific city that serves as its official administrative center or county seat.
- F. None of above.
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_69d381c9d3d48190a29ee491e1696a0e |
completed | April 6, 2026, 9:50 a.m. |
| NER | Named-entity recognition | batch_69d5278dacc4819089b759744f100e5f |
completed | April 7, 2026, 3:49 p.m. |
| PD | Predicate disambiguation | batch_69d5190a6dfc819088262957551808a1 |
completed | April 7, 2026, 2:47 p.m. |
Created at: April 6, 2026, 12:41 p.m.