Triple
T3605610
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | School of Education and Social Policy |
E76362
|
entity |
| Predicate | hasUndergraduateMajor |
P20124
|
FINISHED |
| Object | learning and organizational change |
—
|
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: learning and organizational change | Statement: [School of Education and Social Policy, hasUndergraduateMajor, learning and organizational change]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasUndergraduateMajor Context triple: [School of Education and Social Policy, hasUndergraduateMajor, learning and organizational change]
-
A.
collegeMajor
Indicates that a person’s primary field of academic study at a college or university is a specified subject or discipline.
-
B.
hasUndergraduatePrograms
chosen
Indicates that an educational institution offers one or more undergraduate-level academic programs.
-
C.
hasSubjectOfStudy
Indicates that an entity (such as a person or organization) focuses on, researches, or specializes in a particular field or topic of study.
-
D.
hasCollegeType
Indicates that a college or educational institution is classified as having a specific type or category (e.g., public, private, community, technical).
-
E.
hasMajorUniversity
Indicates that a location or region contains at least one prominent, large, or academically significant university.
- 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_69ad85d93dcc819094fba90cf70f4996 |
completed | March 8, 2026, 2:21 p.m. |
| NER | Named-entity recognition | batch_69adc1e1f9188190b481c26b7f561db7 |
completed | March 8, 2026, 6:37 p.m. |
| PD | Predicate disambiguation | batch_69adb83d8b1c8190b3bddbc5dc995a87 |
completed | March 8, 2026, 5:56 p.m. |
Created at: March 8, 2026, 3:22 p.m.