Triple
T14148704
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Jura (German-speaking minority) |
E350617
|
entity |
| Predicate | politicalUnitContext |
P46230
|
FINISHED |
| Object | Swiss canton |
—
|
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: Swiss canton | Statement: [Jura (German-speaking minority), politicalUnitContext, Swiss canton]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: politicalUnitContext Context triple: [Jura (German-speaking minority), politicalUnitContext, Swiss canton]
-
A.
politicalEntityWithin
chosen
Indicates that one political entity is geographically or administratively contained within another political entity.
-
B.
politicalEntity
Indicates that an entity functions as or is recognized as a political unit, organization, or actor within a political system.
-
C.
legislativeRepresentationUnit
Indicates that one entity serves as a unit or body that provides legislative representation for another entity.
-
D.
politicalSphere
Indicates involvement or relevance within the domain of politics, governance, or public policy activities and interactions.
-
E.
statePoliticalContext
Indicates the political situation, structures, or dynamics associated with a particular state or governmental entity.
- 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_69d827865f608190b311820428ae027b |
completed | April 9, 2026, 10:26 p.m. |
| NER | Named-entity recognition | batch_69de61237ef481909374c1f68a2370b7 |
completed | April 14, 2026, 3:45 p.m. |
| PD | Predicate disambiguation | batch_69de05b8434c81908c33b1b513463b12 |
completed | April 14, 2026, 9:15 a.m. |
Created at: April 10, 2026, 12:55 a.m.