Triple
T29983589
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | SSR Georgia |
E761662
|
entity |
| Predicate | unionRepublicStatus |
P33574
|
FINISHED |
| Object | union republic of the Soviet Union |
—
|
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: union republic of the Soviet Union | Statement: [SSR Georgia, unionRepublicStatus, union republic of the Soviet Union]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: unionRepublicStatus Context triple: [SSR Georgia, unionRepublicStatus, union republic of the Soviet Union]
-
A.
statehoodStatus
Indicates the legal or political condition of an entity regarding whether, how, or to what extent it is recognized or functions as a state.
-
B.
UNMemberStateFlag
Indicates that an entity serves as the official national flag of a member state of the United Nations.
-
C.
stateFederation
chosen
Indicates that a state is a member of, or participates in, a larger federal union or federation.
-
D.
reunificationStatus
Indicates the current state or outcome of efforts to bring previously separated entities back together into a single unified whole.
-
E.
countryOfUnion
Indicates that a given country is a member or constituent state of a specified union or supranational organization.
- 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_69f2246851148190b8e76206db94b105 |
completed | April 29, 2026, 3:31 p.m. |
| NER | Named-entity recognition | batch_69f678db0a488190a4b8f79cb1949749 |
completed | May 2, 2026, 10:21 p.m. |
| PD | Predicate disambiguation | batch_69f675ff62c48190a634bbb8896973b9 |
completed | May 2, 2026, 10:09 p.m. |
Created at: April 29, 2026, 6:35 p.m.