Triple
T22332122
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | University of the North |
E552047
|
entity |
| Predicate | campusNameOrigin |
P147781
|
FINISHED |
| Object | named after its northern geographic location in South Africa |
—
|
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: named after its northern geographic location in South Africa | Statement: [University of the North, campusNameOrigin, named after its northern geographic location in South Africa]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: campusNameOrigin Context triple: [University of the North, campusNameOrigin, named after its northern geographic location in South Africa]
-
A.
campusOrigin
Indicates that one entity originates from, was founded at, or initially established on the campus represented by the other entity.
-
B.
campusName
Indicates the official name assigned to a particular campus.
-
C.
universityFormerName
Indicates that a university previously had a different official name before adopting its current one.
-
D.
campusNickname
Indicates the informal or colloquial name commonly used to refer to a particular campus.
-
E.
nameOfLegacyInstitution
Indicates that one entity is the official or recognized name of an institution that existed in the past or in a previous organizational form.
- 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_69e11e482f788190b78d1588fc26d606 |
completed | April 16, 2026, 5:37 p.m. |
| NER | Named-entity recognition | batch_69f1577b555c8190ac61c026ee7dfb2b |
completed | April 29, 2026, 12:57 a.m. |
| PD | Predicate disambiguation | batch_69e73004d9e88190bb862319a5aea06b |
completed | April 21, 2026, 8:06 a.m. |
| PDg | Predicate description generation | batch_69e7342ce08c8190bc0a7085f4a952e7 |
completed | April 21, 2026, 8:24 a.m. |
Created at: April 16, 2026, 8:43 p.m.