Triple
T6680433
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | AUC |
E151963
|
entity |
| Predicate | geographicClusterOf |
P64833
|
FINISHED |
| Object | historically Black colleges and universities |
—
|
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: historically Black colleges and universities | Statement: [AUC, geographicClusterOf, historically Black colleges and universities]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: geographicClusterOf Context triple: [AUC, geographicClusterOf, historically Black colleges and universities]
-
A.
arealCluster
chosen
Indicates that entities belong to the same spatially contiguous or closely grouped geographic area.
-
B.
countryCluster
Indicates that multiple countries are grouped together based on shared characteristics, relationships, or classification criteria.
-
C.
residesNear
Indicates that one entity lives or is located in close physical proximity to another entity.
-
D.
clusterDensity
Indicates the degree to which elements within a cluster are closely packed or concentrated relative to its size or volume.
-
E.
isCommunityOf
Indicates that one entity functions as a community composed of, or defined by, the members or elements represented by the other entity.
- 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_69c687f830bc81909eb8b04dbb8450b1 |
completed | March 27, 2026, 1:36 p.m. |
| NER | Named-entity recognition | batch_69c6c0aa8c5c8190a302b261f11b70cb |
completed | March 27, 2026, 5:38 p.m. |
| PD | Predicate disambiguation | batch_69c6ad0b6d00819086205b8ce30dd045 |
completed | March 27, 2026, 4:15 p.m. |
Created at: March 27, 2026, 2:04 p.m.