Triple
T4244102
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Thaddeus Stevens College of Technology |
E95485
|
entity |
| Predicate | offersSchedule |
P54910
|
FINISHED |
| Object | day programs |
—
|
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: day programs | Statement: [Thaddeus Stevens College of Technology, offersSchedule, day programs]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: offersSchedule Context triple: [Thaddeus Stevens College of Technology, offersSchedule, day programs]
-
A.
offersActivity
Indicates that one entity provides or makes available a specific activity for another entity to participate in or use.
-
B.
offersProgram
Indicates that an entity provides or makes available a specific program (such as a course, curriculum, or initiative).
-
C.
offersEvent
Indicates that an entity provides or makes available a specific event.
-
D.
offersEdition
Indicates that one entity provides or makes available a particular version or edition of another entity.
-
E.
offersViewOf
Indicates that one entity provides a vantage point from which another entity can be seen or visually appreciated.
- 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_69b3453d91548190b4d4ef8fe52aa2ac |
completed | March 12, 2026, 10:59 p.m. |
| NER | Named-entity recognition | batch_69b34e8c42e88190b309a1ef7f6529ac |
completed | March 12, 2026, 11:38 p.m. |
| PD | Predicate disambiguation | batch_69b347f587148190a1830503459939b6 |
completed | March 12, 2026, 11:10 p.m. |
| PDg | Predicate description generation | batch_69b34e04ef1c81908bb34ae1cbfab1e6 |
completed | March 12, 2026, 11:36 p.m. |
Created at: March 12, 2026, 11:05 p.m.