Triple
T33699279
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | SI-112 (Municipality of Sevnica) |
E863408
|
entity |
| Predicate | classificationUnit |
P39732
|
FINISHED |
| Object | municipality of Sevnica |
—
|
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: municipality of Sevnica | Statement: [SI-112 (Municipality of Sevnica), classificationUnit, municipality of Sevnica]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: classificationUnit Context triple: [SI-112 (Municipality of Sevnica), classificationUnit, municipality of Sevnica]
-
A.
classificationSymbol
Indicates that one entity serves as a symbol, label, or marker used to classify or categorize another entity.
-
B.
designationUnit
Indicates that one entity serves as the unit or standard of measure used to designate, label, or quantify another entity.
-
C.
classificationReference
Indicates that one entity serves as a reference or source for the classification or categorization applied to another entity.
-
D.
classificationTerm
chosen
Indicates that one entity serves as a categorical label or type used to classify or group another entity.
-
E.
classificationSystem
Indicates a relationship where an entity is organized or categorized according to a particular classification scheme or taxonomy.
- 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_69f3498723a08190ac034339cc78eade |
completed | April 30, 2026, 12:22 p.m. |
| NER | Named-entity recognition | batch_69f727bde8f88190ad746ca515134ca1 |
completed | May 3, 2026, 10:47 a.m. |
| PD | Predicate disambiguation | batch_69f72739c30c81908642eef3feb3afcf |
completed | May 3, 2026, 10:45 a.m. |
Created at: May 1, 2026, 1:43 a.m.