Triple
T22418159
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Hampton-Tuskegee model of industrial education |
E554174
|
entity |
| Predicate | viewedEducationAs |
P4078
|
FINISHED |
| Object | means to economic productivity |
—
|
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: means to economic productivity | Statement: [Hampton-Tuskegee model of industrial education, viewedEducationAs, means to economic productivity]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: viewedEducationAs Context triple: [Hampton-Tuskegee model of industrial education, viewedEducationAs, means to economic productivity]
-
A.
viewOnEducation
chosen
Indicates a stance, opinion, or perspective that an entity holds regarding education or educational matters.
-
B.
viewedSubjectsAs
Indicates that one entity regarded or perceived certain subjects in a particular way or from a specific perspective.
-
C.
educationalPathway
Indicates the sequence or structure of educational steps, programs, or qualifications that connect one stage of learning or training to another.
-
D.
educationType
Indicates the specific category or level of education associated with an entity, such as formal, informal, primary, secondary, or higher education.
-
E.
educationSystem
Indicates the relationship in which an entity is part of, governed by, or operates within a particular system or structure of education.
- 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_69e11e4e6ce8819085a1e06d886bf21c |
completed | April 16, 2026, 5:37 p.m. |
| NER | Named-entity recognition | batch_69f15947dcc08190a584636f87669316 |
completed | April 29, 2026, 1:05 a.m. |
| PD | Predicate disambiguation | batch_69e8989495bc81909d2699fce5992e28 |
completed | April 22, 2026, 9:44 a.m. |
Created at: April 16, 2026, 8:46 p.m.