Triple
T13772920
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Candler-McAfee, Georgia |
E330924
|
entity |
| Predicate | predominantCommunity |
P58898
|
FINISHED |
| Object | African American |
—
|
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: African American | Statement: [Candler-McAfee, Georgia, predominantCommunity, African American]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: predominantCommunity Context triple: [Candler-McAfee, Georgia, predominantCommunity, African American]
-
A.
dominantCommunity
chosen
Indicates that one community holds a prevailing or controlling influence, status, or presence over others within a given context.
-
B.
northernPartPredominantCommunity
Indicates that the predominant community being referred to is located in the northern part of a larger area or region.
-
C.
southernPartPredominantCommunity
Indicates that the predominant community or population group is located in the southern part of a given area or region.
-
D.
demographicMajority
Indicates that one group constitutes more than half of the population within a specified context or area.
-
E.
hasMajorCommunity
Indicates that an entity possesses a primary or significantly large community associated with 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_69d81c583b0081909e408a17db517a21 |
completed | April 9, 2026, 9:38 p.m. |
| NER | Named-entity recognition | batch_69de023774b48190b19e43e87b94ba77 |
completed | April 14, 2026, 9 a.m. |
| PD | Predicate disambiguation | batch_69dbbe97846c819093b00ea117b64e0d |
completed | April 12, 2026, 3:47 p.m. |
Created at: April 9, 2026, 10:10 p.m.