Triple
T32243079
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Northern Kosovo |
E823669
|
entity |
| Predicate | hasEducationSystemLinkedTo |
P49447
|
FINISHED |
| Object | Serbia |
—
|
NE NERFINISHED |
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: Serbia | Statement: [Northern Kosovo, hasEducationSystemLinkedTo, Serbia]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasEducationSystemLinkedTo Context triple: [Northern Kosovo, hasEducationSystemLinkedTo, Serbia]
-
A.
isInEducationalSystemOf
Indicates that one entity belongs to, is administered by, or operates within the educational system governed by another entity.
-
B.
hasEducationalLink
chosen
Indicates that there is an educational relationship or connection between two entities, such as teaching, learning, training, or academic affiliation.
-
C.
hasOwnEducationSystem
Indicates that one entity possesses and administers its own distinct education system, separate from those of other entities.
-
D.
hasAssociatedSchoolNetwork
Indicates that an entity is linked to or belongs to a particular school network or group of affiliated schools.
-
E.
associatedWithSchool
Indicates a relationship where an entity has a connection or affiliation with a particular school, such as attendance, employment, or partnership.
- 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_69f3490cdda88190a9d61e11252a771f |
completed | April 30, 2026, 12:20 p.m. |
| NER | Named-entity recognition | batch_69f6ffbad8848190867c2988c0ceb84f |
completed | May 3, 2026, 7:56 a.m. |
| PD | Predicate disambiguation | batch_69f6fc53f4f881908dcc698687bbb64d |
completed | May 3, 2026, 7:42 a.m. |
Created at: May 1, 2026, 12:40 a.m.