Triple
T24560946
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Gjøvik University College |
E607649
|
entity |
| Predicate | hadStaffSize |
P23565
|
FINISHED |
| Object | approximately 300 employees (around time of merger) |
—
|
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: approximately 300 employees (around time of merger) | Statement: [Gjøvik University College, hadStaffSize, approximately 300 employees (around time of merger)]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hadStaffSize Context triple: [Gjøvik University College, hadStaffSize, approximately 300 employees (around time of merger)]
-
A.
staffSize
chosen
Indicates the number of staff members associated with an entity.
-
B.
hadStaffRole
Indicates that an entity served in a specific staff role or position for another entity during some period.
-
C.
hadNumberOfMembers
Indicates that an entity possessed or was associated with a specific count of members at a given time or in a given context.
-
D.
hasEmployees
Indicates that one entity employs one or more other entities as its workers or staff.
-
E.
hasGeneralStaff
Indicates that an entity has, is associated with, or is served by a general staff body responsible for overall strategic or administrative functions.
- 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_69e2c4cc35a48190990b7571bc086df8 |
completed | April 17, 2026, 11:39 p.m. |
| NER | Named-entity recognition | batch_69f2a8f63a348190a3c9fd96e3ad80b0 |
completed | April 30, 2026, 12:57 a.m. |
| PD | Predicate disambiguation | batch_69f2a6b99e7c8190ba7e2dc8729a314a |
completed | April 30, 2026, 12:47 a.m. |
Created at: April 18, 2026, 2:28 a.m.