Triple
T2414769
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Wesleyan College |
E52276
|
entity |
| Predicate | degreeGrantingStatus |
P37764
|
FINISHED |
| Object | bachelor's degrees |
—
|
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: bachelor's degrees | Statement: [Wesleyan College, degreeGrantingStatus, bachelor's degrees]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: degreeGrantingStatus Context triple: [Wesleyan College, degreeGrantingStatus, bachelor's degrees]
-
A.
academicStatus
Indicates the educational or scholarly standing or level an entity holds within an academic context.
-
B.
grantsDegreesFrom
Indicates that an institution has the authority to confer academic degrees originating from a specified source or program.
-
C.
academicDegree
Indicates that an entity holds or has been awarded a specific academic degree.
-
D.
hasRankUponGraduation
Indicates that an entity is assigned a specific rank or standing at the time of its graduation.
-
E.
conferredIn
Indicates that something (such as a degree, title, or honor) was formally granted or awarded within a particular context, event, or 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_69ab495622948190bc6bc6e4cddaf645 |
completed | March 6, 2026, 9:38 p.m. |
| NER | Named-entity recognition | batch_69abc94bd7ec81909f5b4a16a406165b |
completed | March 7, 2026, 6:44 a.m. |
| PD | Predicate disambiguation | batch_69abc5a6cbd0819086c0716e266b7ebb |
completed | March 7, 2026, 6:28 a.m. |
| PDg | Predicate description generation | batch_69abc6011e348190b6f9c038c7559289 |
completed | March 7, 2026, 6:30 a.m. |
Created at: March 6, 2026, 9:41 p.m.