Triple
T22770465
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Doctor honoris causa, University of Oslo |
E563540
|
entity |
| Predicate | nonRemunerated |
P64376
|
FINISHED |
| Object | true |
—
|
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: true | Statement: [Doctor honoris causa, University of Oslo, nonRemunerated, true]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: nonRemunerated Context triple: [Doctor honoris causa, University of Oslo, nonRemunerated, true]
-
A.
nonMonetary
chosen
Indicates that the relationship or transaction occurs without the exchange or involvement of money or financial compensation.
-
B.
nonPostNominal
Indicates that the related element does not appear in a post-nominal position (i.e., it does not follow the noun it modifies or relates to).
-
C.
nonProfessional
Indicates that the relationship or activity is carried out in an informal or amateur capacity rather than as part of a recognized profession or paid occupation.
-
D.
nonScholastic
Indicates that an activity, event, or attribute is related to areas outside formal academic or scholarly pursuits.
-
E.
nonGovernmental
Indicates that an entity, action, or relationship is not associated with, controlled by, or part of a government or governmental body.
- 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_69e24554497c819080b996e071de27c2 |
completed | April 17, 2026, 2:36 p.m. |
| NER | Named-entity recognition | batch_69f17b5cea44819097290351da9c488d |
completed | April 29, 2026, 3:30 a.m. |
| PD | Predicate disambiguation | batch_69eed2b88d88819096015deb6a648801 |
completed | April 27, 2026, 3:06 a.m. |
Created at: April 17, 2026, 3:27 p.m.