Triple
T1229545
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Faculty of Theology, University of Oslo |
E26404
|
entity |
| Predicate | isLeadingInstitutionIn |
P10881
|
FINISHED |
| Object | theology in Norway |
—
|
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: theology in Norway | Statement: [Faculty of Theology, University of Oslo, isLeadingInstitutionIn, theology in Norway]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: isLeadingInstitutionIn Context triple: [Faculty of Theology, University of Oslo, isLeadingInstitutionIn, theology in Norway]
-
A.
includesInstitution
Indicates that one entity contains, encompasses, or has as a member a particular institution.
-
B.
sponsoringInstitution
Indicates that an institution provides financial or organizational support to enable or underwrite an activity, project, event, or entity.
-
C.
centralInstitutionOf
chosen
Indicates that one institution serves as the primary or main institutional center for another entity, such as an organization, system, or region.
-
D.
involvesInstitution
Indicates that an action, event, or relationship includes or is associated with an institution as a participating party.
-
E.
servesInstitution
Indicates that one entity provides services or functions in support of a particular institution.
- 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_69a4948571c88190a9191e451e6035fd |
completed | March 1, 2026, 7:33 p.m. |
| NER | Named-entity recognition | batch_69a4be3dac2c8190914ff27173bb6b34 |
completed | March 1, 2026, 10:31 p.m. |
| PD | Predicate disambiguation | batch_69a4bb65d61c8190bf0424ea0019a98b |
completed | March 1, 2026, 10:19 p.m. |
Created at: March 1, 2026, 7:47 p.m.