Triple
T915455
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Marion County, Georgia |
E19758
|
entity |
| Predicate | hasCommunitiesType |
P3292
|
FINISHED |
| Object | small towns and unincorporated communities |
—
|
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: small towns and unincorporated communities | Statement: [Marion County, Georgia, hasCommunitiesType, small towns and unincorporated communities]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasCommunitiesType Context triple: [Marion County, Georgia, hasCommunitiesType, small towns and unincorporated communities]
-
A.
hasCommunityType
chosen
Indicates that an entity is associated with or classified under a particular type or category of community.
-
B.
hasCommunityIn
Indicates that a community is present, active, or established within a specified location, platform, or context.
-
C.
hasCommunitySpace
Indicates that an entity provides or includes a shared physical or virtual area intended for communal use, activities, or gatherings.
-
D.
hasCommunityLink
Indicates that there exists an established connection or association between an entity and a community.
-
E.
hasSubcommunityIn
Indicates that a larger community contains or encompasses a smaller, distinct subcommunity located within it.
- 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_69a4939f91a08190ba68c2c81eab90fe |
completed | March 1, 2026, 7:29 p.m. |
| NER | Named-entity recognition | batch_69a4b6755c488190b7f7848110e3ea2c |
completed | March 1, 2026, 9:58 p.m. |
| PD | Predicate disambiguation | batch_69a4b292d3408190947cbc2f794cf8c5 |
completed | March 1, 2026, 9:41 p.m. |
Created at: March 1, 2026, 7:39 p.m.