Triple
T34410578
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Rufina Pukhova |
E883249
|
entity |
| Predicate | citizenshipStatusDuringMarriage |
P178909
|
FINISHED |
| Object | Soviet citizen |
—
|
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: Soviet citizen | Statement: [Rufina Pukhova, citizenshipStatusDuringMarriage, Soviet citizen]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: citizenshipStatusDuringMarriage Context triple: [Rufina Pukhova, citizenshipStatusDuringMarriage, Soviet citizen]
-
A.
citizenshipStatusAfterMarriage
Indicates the change or resulting state of a person's citizenship that occurs as a consequence of their marriage.
-
B.
spouseStatusAtMarriage
Indicates the marital status each partner held at the time their marriage to one another was formed.
-
C.
citizenshipStatusDuringService
Indicates the legal citizenship status a person held while they were performing a particular service or duty.
-
D.
maritalStatusOfUnion
Indicates the type or state of the marital relationship that characterizes a particular union between entities.
-
E.
spouseLaterNationality
Indicates that a person’s spouse held or acquired a particular nationality at a later point in time than the reference period.
- F. None of above. chosen
Provenance (4 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_69f349c1f2208190a09a489bb8b2719d |
completed | April 30, 2026, 12:23 p.m. |
| NER | Named-entity recognition | batch_69f719cc31ec819099bebcf833b14d76 |
completed | May 3, 2026, 9:47 a.m. |
| PD | Predicate disambiguation | batch_69f71824431081908d9685d2462ea242 |
completed | May 3, 2026, 9:40 a.m. |
| PDg | Predicate description generation | batch_69f719458378819081725f544efb1173 |
completed | May 3, 2026, 9:45 a.m. |
Created at: May 1, 2026, 1:59 a.m.