Triple
T15727890
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Stonecrest, Georgia |
E381263
|
entity |
| Predicate | racialDemographicsMajority2020 |
P21204
|
FINISHED |
| Object | Black or 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: Black or African American | Statement: [Stonecrest, Georgia, racialDemographicsMajority2020, Black or African American]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: racialDemographicsMajority2020 Context triple: [Stonecrest, Georgia, racialDemographicsMajority2020, Black or African American]
-
A.
demographicMajority
chosen
Indicates that one group constitutes more than half of the population within a specified context or area.
-
B.
racialComposition
Indicates the proportional makeup of different racial groups within a given population or entity.
-
C.
minorityMajority
Indicates that one group constitutes a numerical or power minority within a context while another group constitutes the corresponding majority.
-
D.
majorityCountry
Indicates that a given country is the one in which the majority of a specified group, population, or instances are located or occur.
-
E.
shareMinorityPopulations
Indicates that two entities have overlapping or similar minority population groups in terms of presence, composition, or distribution.
- 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_69d86d9cdb648190bf3171be0bd7d872 |
completed | April 10, 2026, 3:25 a.m. |
| NER | Named-entity recognition | batch_69e04fb4cc0081909efe330339474017 |
completed | April 16, 2026, 2:55 a.m. |
| PD | Predicate disambiguation | batch_69e00526759c819088b80d85138b8974 |
completed | April 15, 2026, 9:37 p.m. |
Created at: April 10, 2026, 4:46 a.m.