Triple
T15327008
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Malmö University |
E366437
|
entity |
| Predicate | receivedUniversityStatus |
P23912
|
FINISHED |
| Object | 2018 |
—
|
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: 2018 | Statement: [Malmö University, receivedUniversityStatus, 2018]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: receivedUniversityStatus Context triple: [Malmö University, receivedUniversityStatus, 2018]
-
A.
gainedUniversityStatus
chosen
Indicates that an institution has officially achieved recognition or designation as a university.
-
B.
academicStatus
Indicates the educational or scholarly standing or level an entity holds within an academic context.
-
C.
collegeStatus
Indicates the current relationship or standing an individual has with a college, such as enrolled, graduated, or withdrawn.
-
D.
degreeGrantingStatus
Indicates whether an institution or program has the authority to confer formal academic degrees.
-
E.
receivedEducationGrant
Indicates that an entity has been awarded or obtained an education-related grant from another entity or funding source.
- 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_69d85a121520819093dcce999fdefe1a |
completed | April 10, 2026, 2:01 a.m. |
| NER | Named-entity recognition | batch_69e03dffd6f88190a0f031ee90c6a7d2 |
completed | April 16, 2026, 1:40 a.m. |
| PD | Predicate disambiguation | batch_69deca9659f48190b8661df223ce5078 |
completed | April 14, 2026, 11:15 p.m. |
Created at: April 10, 2026, 3:16 a.m.