Triple
T2045878
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | HBCUs |
E45449
|
entity |
| Predicate | studentDemographics |
P2263
|
FINISHED |
| Object | historically majority 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: historically majority African American | Statement: [HBCUs, studentDemographics, historically majority African American]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: studentDemographics Context triple: [HBCUs, studentDemographics, historically majority African American]
-
A.
studentPopulationLevel
Indicates the relative size or magnitude of the student population associated with an entity.
-
B.
demographics
Indicates the relationship of providing or characterizing statistical information about a population’s attributes, such as age, gender, income, or education.
-
C.
studentBodySize
Indicates the total number of students that make up the student body of an institution or group.
-
D.
servesStudentPopulation
Indicates that an entity provides services, resources, or support to a defined group of students.
-
E.
demographicsLabel
chosen
Indicates the categorical demographic group or segment that an entity is associated with or classified under.
- 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_69a8891948208190ab7898da21824c77 |
completed | March 4, 2026, 7:33 p.m. |
| NER | Named-entity recognition | batch_69abbc2c3f6c8190aff07097b2654e52 |
completed | March 7, 2026, 5:48 a.m. |
| PD | Predicate disambiguation | batch_69abb7aa00d4819086d347d9a08f81a0 |
completed | March 7, 2026, 5:29 a.m. |
Created at: March 4, 2026, 7:39 p.m.