Triple
T9450522
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Soviet Socialist Republics |
E227876
|
entity |
| Predicate | numberOfRepublicsAtDissolution |
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: [Soviet Socialist Republics, numberOfRepublicsAtDissolution, 15]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: numberOfRepublicsAtDissolution Context triple: [Soviet Socialist Republics, numberOfRepublicsAtDissolution, 15]
-
A.
numberOfUnionRepublicsAtDissolution
chosen
Indicates the total count of union republics that existed in a state at the time of its dissolution.
-
B.
countryAfterDissolution
Indicates that one country emerged or existed as a successor state following the dissolution of another country.
-
C.
partiesAfterUSSRDissolution
Indicates that the relationship involves political parties that emerged or existed following the dissolution of the USSR.
-
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_69ca8439f8bc8190997f2ef40c9f0bc2 |
completed | March 30, 2026, 2:10 p.m. |
| NER | Named-entity recognition | batch_69cd7f6649a48190b6844daa6202efe5 |
completed | April 1, 2026, 8:26 p.m. |
| PD | Predicate disambiguation | batch_69cca5596ffc819097e9c8eefd4ef9b8 |
completed | April 1, 2026, 4:55 a.m. |
Created at: March 30, 2026, 7:51 p.m.