Triple
T32627401
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Russia (Buryatia, Kalmykia, Tuva) |
E834094
|
entity |
| Predicate | sharesHistoricalExperience |
P3438
|
FINISHED |
| Object | Soviet religious repression |
—
|
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 religious repression | Statement: [Russia (Buryatia, Kalmykia, Tuva), sharesHistoricalExperience, Soviet religious repression]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: sharesHistoricalExperience Context triple: [Russia (Buryatia, Kalmykia, Tuva), sharesHistoricalExperience, Soviet religious repression]
-
A.
sharesHistoricalLegacyOf
Indicates that one entity is connected to, or participates in, the same historical legacy, tradition, or heritage as another entity.
-
B.
sharesHistoryWith
chosen
Indicates that two entities have a common or overlapping past, such as shared experiences, events, or origins.
-
C.
shareHistoricalContextAs
Indicates that two or more entities are associated with or understood within the same historical background, period, or circumstances.
-
D.
estimatedHistory
Indicates that there is an inferred or approximated record of past states, events, or values associated with an entity or relationship.
-
E.
recentHistory
Indicates that one entity represents the most recent sequence of events, states, or interactions associated with another entity.
- 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_69f3492ccc80819086ef7d26e9786647 |
completed | April 30, 2026, 12:21 p.m. |
| NER | Named-entity recognition | batch_69ff63e6b61081909c648bf0ff279481 |
completed | May 9, 2026, 4:42 p.m. |
| PD | Predicate disambiguation | batch_69ff6381867881908ae0545df4b71df5 |
completed | May 9, 2026, 4:40 p.m. |
Created at: May 1, 2026, 1:06 a.m.