Triple
T6681978
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | January term |
E152003
|
entity |
| Predicate | benefitForFaculty |
P71721
|
FINISHED |
| Object | opportunity to offer experimental courses |
—
|
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: opportunity to offer experimental courses | Statement: [January term, benefitForFaculty, opportunity to offer experimental courses]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: benefitForFaculty Context triple: [January term, benefitForFaculty, opportunity to offer experimental courses]
-
A.
usedByFaculty
Indicates that something is utilized or employed by faculty members in carrying out their roles or activities.
-
B.
sharesFacultyWith
Indicates that two academic institutions or departments have at least one faculty member in common or on staff at both.
-
C.
hasFaculty
Indicates that an institution or department possesses or is associated with one or more faculty members.
-
D.
facultyStudentInteraction
Indicates interactions, communications, or engagements that occur between faculty members and students.
-
E.
hasUniversityFaculty
Indicates that a university or academic institution employs or is associated with one or more faculty members.
- 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_69c687f9977c819097e7f5ada4fe522e |
completed | March 27, 2026, 1:36 p.m. |
| NER | Named-entity recognition | batch_69c6c0aa8c5c8190a302b261f11b70cb |
completed | March 27, 2026, 5:38 p.m. |
| PD | Predicate disambiguation | batch_69c6ad0b6d00819086205b8ce30dd045 |
completed | March 27, 2026, 4:15 p.m. |
| PDg | Predicate description generation | batch_69c6c0a90a088190978061cb05dbe268 |
completed | March 27, 2026, 5:38 p.m. |
Created at: March 27, 2026, 2:04 p.m.