Triple
T32908482
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Rovno |
E841806
|
entity |
| Predicate | associatedWithEthnicCommunities |
P81524
|
FINISHED |
| Object | Ukrainians |
E5314
|
NE 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: Ukrainians | Statement: [Rovno, associatedWithEthnicCommunities, Ukrainians]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: associatedWithEthnicCommunities Context triple: [Rovno, associatedWithEthnicCommunities, Ukrainians]
-
A.
ethnicCommunityAssociation
Indicates a relationship where an entity is associated with, belongs to, or is involved in an ethnic community organization or group.
-
B.
ethnicCommunityContext
Indicates the cultural, social, or historical context related to an entity’s association with a particular ethnic community.
-
C.
hasEthnicCommunityClubs
Indicates that an entity hosts or is associated with clubs or organizations formed around shared ethnic or cultural identities.
-
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.
ethnicCommunityBase
chosen
Indicates that an ethnic community is based in, originates from, or is primarily associated with a particular place or area.
- F. None of above.
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_69f34946a5208190bbd79f0fec4323bd |
completed | April 30, 2026, 12:21 p.m. |
| NER | Named-entity recognition | batch_6a037cad051c8190b28b354b89208574 |
completed | May 12, 2026, 7:17 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a34c69707bc8190a396eefd2adaead0 |
completed | June 19, 2026, 4:33 a.m. |
| PD | Predicate disambiguation | batch_6a0379f0cbe481909b4b8fc6cbe297f0 |
completed | May 12, 2026, 7:05 p.m. |
Created at: May 1, 2026, 1:19 a.m.