Triple
T27125501
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | City Campus |
E681414
|
entity |
| Predicate | isMainUrbanCampusOf |
P105557
|
FINISHED |
| Object | Sheffield Hallam University |
—
|
NE NERFINISHED |
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: Sheffield Hallam University | Statement: [City Campus, isMainUrbanCampusOf, Sheffield Hallam University]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: isMainUrbanCampusOf Context triple: [City Campus, isMainUrbanCampusOf, Sheffield Hallam University]
-
A.
hasMainCampus
Indicates that an educational institution is primarily based at or chiefly associated with a particular campus location.
-
B.
isMajorCampusFor
chosen
Indicates that a particular campus serves as the primary or main campus for a given institution or organization.
-
C.
otherMainCampus
Indicates that an institution has an additional primary campus distinct from its main campus.
-
D.
isLargestCampusOf
Indicates that one campus is the largest (by size, area, or capacity) among all campuses belonging to a particular institution or organization.
-
E.
isUrbanUniversity
Indicates that a university is located in, or primarily associated with, an urban (city) environment.
- 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_69eefacbcc2081909ebf00daa23f1981 |
completed | April 27, 2026, 5:57 a.m. |
| NER | Named-entity recognition | batch_69f62cd2ceb481908cd9fae52a542206 |
completed | May 2, 2026, 4:56 p.m. |
| PD | Predicate disambiguation | batch_69f62c1762f881908c25e8f70ecd5041 |
completed | May 2, 2026, 4:53 p.m. |
Created at: April 27, 2026, 9:01 a.m.