Triple
T36013787
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Georgian legation in Prague |
E1041782
|
entity |
| Predicate | representedRegimeType |
P49415
|
FINISHED |
| Object | Democratic republic |
—
|
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: Democratic republic | Statement: [Georgian legation in Prague, representedRegimeType, Democratic republic]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: representedRegimeType Context triple: [Georgian legation in Prague, representedRegimeType, Democratic republic]
-
A.
representationType
Indicates the specific form or mode in which something is represented or expressed (e.g., as a symbol, image, model, or description).
-
B.
endedRegimeType
Indicates that one entity brought about the termination or cessation of a particular type of regime associated with another entity.
-
C.
usedByRegimeType
Indicates that something (such as a method, policy, or tool) is employed or implemented by a particular type of political regime.
-
D.
supportedRegimeType
Indicates that an entity provided backing or endorsement to a particular type of political regime.
-
E.
regimeType
chosen
Indicates the form or system of governance under which an entity (such as a state or organization) is ruled or administered.
- 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_69f76e2b981881908e4e160607fa82eb |
completed | May 3, 2026, 3:47 p.m. |
| NER | Named-entity recognition | batch_69ff691f5ae481908597ce245188d31c |
completed | May 9, 2026, 5:04 p.m. |
| PD | Predicate disambiguation | batch_69ff67ceeeb081909fd00cad166c4b6a |
completed | May 9, 2026, 4:58 p.m. |
Created at: May 3, 2026, 4:07 p.m.