Triple
T35817113
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Austria–Czechoslovakia border |
E1035393
|
entity |
| Predicate | borderedPoliticalSystem |
P103899
|
FINISHED |
| Object | liberal democracy in Austria |
—
|
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: liberal democracy in Austria | Statement: [Austria–Czechoslovakia border, borderedPoliticalSystem, liberal democracy in Austria]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: borderedPoliticalSystem Context triple: [Austria–Czechoslovakia border, borderedPoliticalSystem, liberal democracy in Austria]
-
A.
borderedPoliticalSpheres
Indicates that two political regions or jurisdictions share a common boundary.
-
B.
associatedPoliticalSystem
chosen
Indicates that there exists a political system with which the subject is formally or conceptually connected.
-
C.
politicalState
Indicates the political condition, status, or governance situation that an entity is currently under or associated with.
-
D.
politicalSphere
Indicates involvement or relevance within the domain of politics, governance, or public policy activities and interactions.
-
E.
politicalForm
Indicates the type or structure of governance or political organization that characterizes an 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_69f76e1762408190b885a8456862e372 |
completed | May 3, 2026, 3:47 p.m. |
| NER | Named-entity recognition | batch_69ffb1f0b03c81909ddb81f07ce74e88 |
completed | May 9, 2026, 10:15 p.m. |
| PD | Predicate disambiguation | batch_69ffb1662b2481908582e0612744f4c5 |
completed | May 9, 2026, 10:12 p.m. |
Created at: May 3, 2026, 4:06 p.m.