Triple
T2225033
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Evening & Weekend MBA |
E48629
|
entity |
| Predicate | attendanceMode |
P31835
|
FINISHED |
| Object | part-time |
—
|
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: part-time | Statement: [Evening & Weekend MBA, attendanceMode, part-time]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: attendanceMode Context triple: [Evening & Weekend MBA, attendanceMode, part-time]
-
A.
attendance
Indicates the relationship between an event and the people who are present at or participate in that event.
-
B.
typeOfPresence
chosen
Indicates the manner or mode in which an entity is present or exists in relation to another entity, context, or environment.
-
C.
recordAttendance
Indicates that an entity documents or logs the presence or participation of another entity at a specific event, session, or time.
-
D.
modernPresence
Indicates that something exists, appears, or is active in the contemporary or present-day context.
-
E.
isFreeToAttend
Indicates that attending the event or activity does not require any payment or admission fee.
- 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_69a88aa51b388190949868ec9766e587 |
completed | March 4, 2026, 7:40 p.m. |
| NER | Named-entity recognition | batch_69abc03ec3788190b5ae32201364f7ab |
completed | March 7, 2026, 6:05 a.m. |
| PD | Predicate disambiguation | batch_69abbdac31d8819092d17815e11921e9 |
completed | March 7, 2026, 5:54 a.m. |
Created at: March 4, 2026, 7:47 p.m.