Triple
T31618620
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | СССР |
E806831
|
entity |
| Predicate | числоСоюзныхРеспубликК1991 |
P1425
|
FINISHED |
| Object | 15 |
—
|
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: 15 | Statement: [СССР, числоСоюзныхРеспубликК1991, 15]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: числоСоюзныхРеспубликК1991 Context triple: [СССР, числоСоюзныхРеспубликК1991, 15]
-
A.
numberOfUnionRepublicsAtDissolution
chosen
Indicates the total count of union republics that existed in a state at the time of its dissolution.
-
B.
numberOfConstituentRepublics
Indicates the total count of constituent republics that make up a larger political or administrative entity.
-
C.
formerSovietRepublic
Indicates that an entity is a country or region that was once part of the Soviet Union but is now independent.
-
D.
countryBefore1991
Indicates that the specified country existed or held the relevant status prior to the year 1991.
-
E.
countryBefore1993
Indicates that the specified country existed or held a particular status prior to the year 1993.
- 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_69f348d7883c8190b6c13ab92b7ef076 |
completed | April 30, 2026, 12:19 p.m. |
| NER | Named-entity recognition | batch_69f6a8acae308190b3450346a6bb55bc |
completed | May 3, 2026, 1:45 a.m. |
| PD | Predicate disambiguation | batch_69f6a75656e081908739ed9e2f600e42 |
completed | May 3, 2026, 1:39 a.m. |
Created at: April 30, 2026, 10:40 p.m.