Triple
T7532824
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | College of Letters |
E178068
|
entity |
| Predicate | hasTeachingFormat |
P56012
|
FINISHED |
| Object | small seminars |
—
|
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: small seminars | Statement: [College of Letters, hasTeachingFormat, small seminars]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasTeachingFormat Context triple: [College of Letters, hasTeachingFormat, small seminars]
-
A.
hasTeaching
Indicates that one entity provides instruction or educational guidance to another entity.
-
B.
hasTeachingContext
chosen
Indicates that an entity is associated with a specific educational or instructional setting in which teaching occurs.
-
C.
typeOfTeaching
Indicates the specific method or style of teaching used in an instructional context.
-
D.
hasTeachingActivity
Indicates that an entity engages in or is associated with a specific teaching-related activity or instructional role.
-
E.
hasTeachingStatus
Indicates that an entity holds a particular teaching-related role, capacity, or status in relation to another entity or context.
- 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_69c69f2acdbc8190b5a8320168c1d0ba |
completed | March 27, 2026, 3:15 p.m. |
| NER | Named-entity recognition | batch_69c6f8493964819086aeddfa4872a70b |
completed | March 27, 2026, 9:36 p.m. |
| PD | Predicate disambiguation | batch_69c6f4d8eedc81908c1ae421e0e63798 |
completed | March 27, 2026, 9:21 p.m. |
Created at: March 27, 2026, 3:47 p.m.