Triple
T3312002
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Jefferson County, Georgia |
E69592
|
entity |
| Predicate | isInUSStateRegion |
P38421
|
FINISHED |
| Object | east-central 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: east-central Georgia | Statement: [Jefferson County, Georgia, isInUSStateRegion, east-central Georgia]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: isInUSStateRegion Context triple: [Jefferson County, Georgia, isInUSStateRegion, east-central Georgia]
-
A.
isInUSState
Indicates that one entity (typically a place or location) is geographically located within the boundaries of a specific U.S. state.
-
B.
isRegionOf
chosen
Indicates that one entity is a geographic or administrative region belonging to, contained within, or associated with another entity.
-
C.
includesUSRegions
Indicates that something contains or covers one or more specified regions within the United States.
-
D.
isFromRegion
Indicates that one entity originates from, is associated with, or belongs to a specified geographic region.
-
E.
isInUnitedStatesMunicipalHierarchy
Indicates that one administrative or governmental unit occupies a specific level or position within the municipal hierarchy of the United States (e.g., city, town, county, or similar local jurisdiction).
- 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_69ad85a0bb048190a5458d2738012d61 |
completed | March 8, 2026, 2:20 p.m. |
| NER | Named-entity recognition | batch_69adb0eddf488190b7f05b3903b96d4b |
completed | March 8, 2026, 5:25 p.m. |
| PD | Predicate disambiguation | batch_69ada4282730819092aa39c5f9269df0 |
completed | March 8, 2026, 4:30 p.m. |
Created at: March 8, 2026, 3:11 p.m.