Triple
T1311818
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Clark Atlanta University |
E28007
|
entity |
| Predicate | hasInstitutionalControl |
P27846
|
FINISHED |
| Object | private |
—
|
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: private | Statement: [Clark Atlanta University, hasInstitutionalControl, private]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasInstitutionalControl Context triple: [Clark Atlanta University, hasInstitutionalControl, private]
-
A.
institutionalControl
Indicates that one institution has governing, regulatory, or managerial authority over another entity or activity.
-
B.
hasInstitutionalCharacter
Indicates that something possesses qualities, status, or attributes associated with a formal institution or institutional framework.
-
C.
focusesOnInstitutionControl
Indicates that the primary emphasis or concern is on controlling or governing institutions and their decision-making processes.
-
D.
hasStateInstitution
Indicates that a particular state possesses, governs, or is served by a specific institution operating under its authority or within its jurisdiction.
-
E.
grantedByInstitution
Indicates that something (such as a status, permission, or resource) is conferred or authorized by an institution.
- F. None of above. chosen
Provenance (4 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_69a498532c3481909223b74af2e578df |
completed | March 1, 2026, 7:49 p.m. |
| NER | Named-entity recognition | batch_69a4c1560f888190bdd9107b08395e0b |
completed | March 1, 2026, 10:44 p.m. |
| PD | Predicate disambiguation | batch_69a4bee9e4a88190b22ab2ee831a23c9 |
completed | March 1, 2026, 10:34 p.m. |
| PDg | Predicate description generation | batch_69a4c15361c8819094b8171e780b5560 |
completed | March 1, 2026, 10:44 p.m. |
Created at: March 1, 2026, 7:55 p.m.