Triple
T14842720
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | School of Languages, Cultures, and World Affairs |
E349004
|
entity |
| Predicate | typicalDepartmentsInclude |
P85516
|
FINISHED |
| Object | foreign language departments |
—
|
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: foreign language departments | Statement: [School of Languages, Cultures, and World Affairs, typicalDepartmentsInclude, foreign language departments]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: typicalDepartmentsInclude Context triple: [School of Languages, Cultures, and World Affairs, typicalDepartmentsInclude, foreign language departments]
-
A.
commonDepartments
Indicates that two or more entities share one or more of the same departments in common.
-
B.
typicalOccupationsInclude
Indicates that the usual or commonly associated jobs or professions for an entity include the specified occupation(s).
-
C.
departmentType
Indicates the classification or category of a department, specifying what kind of department it is.
-
D.
coversDepartment
chosen
Indicates that one entity includes, encompasses, or has responsibility for a particular department within its scope.
-
E.
recognizesDepartment
Indicates that one entity formally acknowledges or accepts another entity as a valid or official department.
- 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_69d822ec69008190a9232caa68836872 |
completed | April 9, 2026, 10:06 p.m. |
| NER | Named-entity recognition | batch_69ded28fa49c81908d1059e6cafd607f |
completed | April 14, 2026, 11:49 p.m. |
| PD | Predicate disambiguation | batch_69de8c13418c819088ff9905ace1416a |
completed | April 14, 2026, 6:48 p.m. |
Created at: April 10, 2026, 1:53 a.m.