Triple
T29084601
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Grand Duchy of Ruthenia |
E734070
|
entity |
| Predicate | associatedEthnicTerritories |
P203989
|
FINISHED |
| Object | Ukrainian lands |
—
|
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: Ukrainian lands | Statement: [Grand Duchy of Ruthenia, associatedEthnicTerritories, Ukrainian lands]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: associatedEthnicTerritories Context triple: [Grand Duchy of Ruthenia, associatedEthnicTerritories, Ukrainian lands]
-
A.
relatedEthnicGroup
Indicates that there is a notable ethnic connection or association between two ethnic groups, such as shared ancestry, culture, or historical ties.
-
B.
relatedEthnonymNote
Indicates that there is an explanatory note describing how this ethnonym is related to another ethnonym or term.
-
C.
ethnicRegionOfFocus
Indicates that a particular ethnic group or ethnicity is the primary regional focus or subject of attention in a given context.
-
D.
representedTerritories
Indicates that one entity serves as the official representative or governing authority for certain territories or geographic areas.
-
E.
nearEthnicGroup
Indicates that one entity is located geographically close to an ethnic group.
- 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_69f05b0c0f28819086eae6e84f2ae472 |
completed | April 28, 2026, 7 a.m. |
| NER | Named-entity recognition | batch_6a030713bd2881908bcc69e7d1e9fd09 |
completed | May 12, 2026, 10:55 a.m. |
| PD | Predicate disambiguation | batch_6a0304c29abc819085ffd17ab9a8c844 |
completed | May 12, 2026, 10:45 a.m. |
| PDg | Predicate description generation | batch_6a030712df548190b8b91ecaa5a1fc5e |
completed | May 12, 2026, 10:55 a.m. |
Created at: April 28, 2026, 10:59 a.m.