Triple
T30137362
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Mikael Lindfelt |
E766031
|
entity |
| Predicate | workInstitutionType |
P108898
|
FINISHED |
| Object | Swedish-language university in Finland |
—
|
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: Swedish-language university in Finland | Statement: [Mikael Lindfelt, workInstitutionType, Swedish-language university in Finland]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: workInstitutionType Context triple: [Mikael Lindfelt, workInstitutionType, Swedish-language university in Finland]
-
A.
workInstitution
Indicates that an entity is employed by or works at a particular institution.
-
B.
typeOfInstitution
Indicates the specific kind or category of institution that an entity belongs to or is classified as.
-
C.
academicInstitutionType
chosen
Indicates the specific category or kind of academic institution an entity is classified as (e.g., university, college, high school).
-
D.
universityOrganizationType
Indicates the specific organizational category or classification of a university (such as public, private, or other institutional type).
-
E.
typeOfInstitutionNetwork
Indicates a relationship where an institution is classified as belonging to a particular type or category of institutional network.
- 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_69f2247909048190ae86c2160cf8b566 |
completed | April 29, 2026, 3:32 p.m. |
| NER | Named-entity recognition | batch_69f67e4d0eec8190a25a9f6d74516857 |
completed | May 2, 2026, 10:44 p.m. |
| PD | Predicate disambiguation | batch_69f675ff62c48190a634bbb8896973b9 |
completed | May 2, 2026, 10:09 p.m. |
Created at: April 29, 2026, 7:16 p.m.