Triple
T6266234
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | HF |
E140419
|
entity |
| Predicate | locatedIn |
P40
|
FINISHED |
| Object | Blindern campus |
E532071
|
NE 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: Blindern campus | Statement: [HF, locatedIn, Blindern campus]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Blindern campus Context triple: [HF, locatedIn, Blindern campus]
-
A.
Blindern campus
chosen
Blindern campus is the main campus area of the University of Oslo, housing many of its central faculties and research institutes.
-
B.
Kjeller campus
Kjeller campus is one of Oslo Metropolitan University’s main sites, located in Kjeller and hosting various academic programs and research activities.
-
C.
Nygårdshøyden campus
Nygårdshøyden campus is the central urban campus area of the University of Bergen, housing many of its main academic buildings and administrative facilities in Bergen, Norway.
-
D.
Campus Helgeland
Campus Helgeland is a higher education campus in Mo i Rana, Norway, offering university-level studies and professional programs for the Helgeland region.
-
E.
Oslo Metropolitan University
Oslo Metropolitan University is a public university in Norway’s capital that offers a wide range of professional and research-based programs with a strong focus on applied sciences and societal development.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
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_69c008cabc4081909723e2547c9d6cc0 |
completed | March 22, 2026, 3:20 p.m. |
| NER | Named-entity recognition | batch_69c0639fdad081908492c44d369df8c5 |
completed | March 22, 2026, 9:48 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c62d1f28748190a62fc26f92f0c15f |
completed | March 27, 2026, 7:09 a.m. |
Created at: March 22, 2026, 4:25 p.m.