Triple
T13048673
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Durham University collegiate system |
E327391
|
entity |
| Predicate | hasNumberOfColleges |
P6738
|
FINISHED |
| Object | over 15 |
—
|
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: over 15 | Statement: [Durham University collegiate system, hasNumberOfColleges, over 15]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasNumberOfColleges Context triple: [Durham University collegiate system, hasNumberOfColleges, over 15]
-
A.
hasColleges
Indicates that an entity possesses, contains, or is associated with one or more colleges.
-
B.
hasCollegesType
Indicates that an entity is associated with or classified by a particular type or category of college.
-
C.
numberOfColleges
chosen
Indicates the quantity of colleges associated with a given entity.
-
D.
hasNumberOfSchools
Indicates the quantity of schools associated with a given entity.
-
E.
hasAffiliatedCollegesIn
Indicates that an institution maintains affiliated colleges located within a specified geographic area or jurisdiction.
- 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_69d8076e64308190904fb5c93517c901 |
completed | April 9, 2026, 8:09 p.m. |
| NER | Named-entity recognition | batch_69d98a9829b48190b23624b6b3df4600 |
completed | April 10, 2026, 11:41 p.m. |
| PD | Predicate disambiguation | batch_69d9803aca4c8190b1015cd159cc47a9 |
completed | April 10, 2026, 10:56 p.m. |
Created at: April 9, 2026, 8:57 p.m.