Triple
T400953
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Østfold University College |
E9278
|
entity |
| Predicate | hasInternationalCollaboration |
P1499
|
FINISHED |
| Object | yes |
—
|
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: yes | Statement: [Østfold University College, hasInternationalCollaboration, yes]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasInternationalCollaboration Context triple: [Østfold University College, hasInternationalCollaboration, yes]
-
A.
hasInternationalOrganizationRole
Indicates that an entity holds or has held a specific role, position, or function within an international organization.
-
B.
isInternational
chosen
Indicates that something has a connection to, involves, or extends across more than one country.
-
C.
notableCollaboration
Indicates a significant joint effort or partnership between entities that produced a noteworthy shared outcome or work.
-
D.
hasCoauthor
Indicates that two or more entities have jointly authored the same work or publication.
-
E.
hasInternationalOrganizationOffice
Indicates that an international organization maintains an official office or physical presence at a given location.
- 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_69a2e8004cb88190b92ed1add6abf41a |
completed | Feb. 28, 2026, 1:05 p.m. |
| NER | Named-entity recognition | batch_69a2ec9f77888190bcc2bc68d201ed35 |
completed | Feb. 28, 2026, 1:24 p.m. |
| PD | Predicate disambiguation | batch_69a2e96ee4ec8190a5c0e3f491d3963d |
completed | Feb. 28, 2026, 1:11 p.m. |
Created at: Feb. 28, 2026, 1:08 p.m.