Triple
T19051078
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Odessa, Russian Empire |
E466257
|
entity |
| Predicate | hadSignificantEthnicGroup |
P76422
|
FINISHED |
| Object | Russians |
—
|
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: Russians | Statement: [Odessa, Russian Empire, hadSignificantEthnicGroup, Russians]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hadSignificantEthnicGroup Context triple: [Odessa, Russian Empire, hadSignificantEthnicGroup, Russians]
-
A.
hasEthnicGroupInPower
Indicates that a particular ethnic group holds dominant political or governing authority within a given entity or context.
-
B.
affectedEthnicGroup
Indicates that a particular ethnic group is impacted or influenced by an event, condition, policy, or action.
-
C.
historicalEthnicGroups
chosen
Indicates that there is a historically attested ethnic group or groups associated with the subject entity.
-
D.
involvedEthnicGroup
Indicates that a particular ethnic group participates in, is affected by, or is otherwise associated with the referenced event, situation, or entity.
-
E.
hasSignificantEthnicCompositionIssue
Indicates that there is a notable problem or concern related to the ethnic composition or ethnic balance within the referenced entity or context.
- 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_69d8dd040fb881909af2a964f65ad208 |
completed | April 10, 2026, 11:20 a.m. |
| NER | Named-entity recognition | batch_69e5dc02597c8190b39fd2c7b7e42258 |
completed | April 20, 2026, 7:55 a.m. |
| PD | Predicate disambiguation | batch_69e4b99633c8819097988608c278ecf8 |
completed | April 19, 2026, 11:16 a.m. |
Created at: April 10, 2026, 12:03 p.m.