Triple
T28863342
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Durham University Queen’s Campus |
E728923
|
entity |
| Predicate | teachingCeased |
P168118
|
FINISHED |
| Object | 2017 |
—
|
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: 2017 | Statement: [Durham University Queen’s Campus, teachingCeased, 2017]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: teachingCeased Context triple: [Durham University Queen’s Campus, teachingCeased, 2017]
-
A.
relocationOfTeachingCompleted
Indicates that the process of moving or transferring a teaching activity or assignment from one place or context to another has been fully completed.
-
B.
hasTeaching
Indicates that one entity provides instruction or educational guidance to another entity.
-
C.
containsTeachingOf
Indicates that one entity includes, embodies, or presents the teaching, doctrine, or instructional content associated with another entity.
-
D.
hasTeachingStatus
Indicates that an entity holds a particular teaching-related role, capacity, or status in relation to another entity or context.
-
E.
taughtThat
Indicates that one entity provided instruction or education to another entity about a specific subject, skill, or concept.
- 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_69f031a01cbc8190ba87270bb6fe4639 |
completed | April 28, 2026, 4:03 a.m. |
| NER | Named-entity recognition | batch_69f673633d288190b52ceb9f8a057c44 |
completed | May 2, 2026, 9:57 p.m. |
| PD | Predicate disambiguation | batch_69f66ec5bf508190ad088b89455252bd |
completed | May 2, 2026, 9:38 p.m. |
| PDg | Predicate description generation | batch_69f67256d064819094be04fc1bbbc635 |
completed | May 2, 2026, 9:53 p.m. |
Created at: April 28, 2026, 6:48 a.m.