Triple
T15760163
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Harstad University College |
E382074
|
entity |
| Predicate | hadStudentBodyType |
P5246
|
FINISHED |
| Object | full-time students |
—
|
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: full-time students | Statement: [Harstad University College, hadStudentBodyType, full-time students]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hadStudentBodyType Context triple: [Harstad University College, hadStudentBodyType, full-time students]
-
A.
hasStudentBodyType
chosen
Indicates that an educational institution possesses a student body characterized by a particular type or classification.
-
B.
hasStudentBodyFrom
Indicates that an educational institution draws or enrolls its student body from a specified geographic area, group, or source.
-
C.
studentBodySize
Indicates the total number of students that make up the student body of an institution or group.
-
D.
hasGivingBodyType
Indicates that one entity serves as the physical or organizational source that gives or grants something to another entity.
-
E.
representsStudentBody
Indicates that one entity serves as the official representative or governing body for the students of another entity (such as a school or 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_69d86d9e6b44819085d1f6a969ecb74c |
completed | April 10, 2026, 3:25 a.m. |
| NER | Named-entity recognition | batch_69e050b52c548190a0ffa4493a4eb15c |
completed | April 16, 2026, 3 a.m. |
| PD | Predicate disambiguation | batch_69e00531e7ac8190a4190cce4f7fab4c |
completed | April 15, 2026, 9:37 p.m. |
Created at: April 10, 2026, 4:47 a.m.