Triple
T37480384
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Prince of Serbia |
E931395
|
entity |
| Predicate | currentUseContext |
P200911
|
FINISHED |
| Object | used by members of the Karađorđević royal family in exile |
—
|
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: used by members of the Karađorđević royal family in exile | Statement: [Prince of Serbia, currentUseContext, used by members of the Karađorđević royal family in exile]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: currentUseContext Context triple: [Prince of Serbia, currentUseContext, used by members of the Karađorđević royal family in exile]
-
A.
originalUseContext
Indicates the original situation, setting, or context in which something was intended to be used or applied.
-
B.
contextType
Indicates the type or category of contextual information associated with an entity or event.
-
C.
contextName
Indicates the specific contextual label or identifier under which an entity, event, or relation is defined or interpreted.
-
D.
canonicalContext
Indicates the standard or primary contextual framework within which an entity, statement, or resource is to be interpreted.
-
E.
unitContext
Indicates the contextual framework or setting (such as scope, conditions, or environment) within which a particular unit, instance, or occurrence is defined or interpreted.
- F. None of above. chosen
Provenance (4 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_69f76ec382248190b47844df596123c6 |
completed | May 3, 2026, 3:50 p.m. |
| NER | Named-entity recognition | batch_69ffb82be8148190a1c870d467a28c80 |
completed | May 9, 2026, 10:41 p.m. |
| PD | Predicate disambiguation | batch_69ffb7bbd550819094052e9a0d0ae320 |
completed | May 9, 2026, 10:39 p.m. |
| PDg | Predicate description generation | batch_69ffb82b40788190bf401344a3f288dd |
completed | May 9, 2026, 10:41 p.m. |
Created at: May 3, 2026, 4:17 p.m.