Triple
T9550081
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Ukraine and Moldova |
E230398
|
entity |
| Predicate | haveMinorityPopulationsAcrossBorder |
P64454
|
FINISHED |
| Object | yes |
—
|
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: yes | Statement: [Ukraine and Moldova, haveMinorityPopulationsAcrossBorder, yes]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: haveMinorityPopulationsAcrossBorder Context triple: [Ukraine and Moldova, haveMinorityPopulationsAcrossBorder, yes]
-
A.
ethnicGroupsAlongBorder
Indicates that the entities share or are associated with ethnic groups that live in regions adjacent to a specified border.
-
B.
hasImmigrantCommunitiesFrom
Indicates that a place or region contains established communities of people who have immigrated from a specified origin location.
-
C.
hasMinorityIn
Indicates that one entity holds a non-controlling, minority ownership or stake in another entity.
-
D.
shareMinorityPopulations
chosen
Indicates that two entities have overlapping or similar minority population groups in terms of presence, composition, or distribution.
-
E.
sharesInternationalBorderWith
Indicates that two geographic or political entities have a common boundary that is recognized as an international border.
- 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_69ca847d3be8819099c9dad2a7e786f1 |
completed | March 30, 2026, 2:11 p.m. |
| NER | Named-entity recognition | batch_69cd9906bc90819086f105c453e63c83 |
completed | April 1, 2026, 10:15 p.m. |
| PD | Predicate disambiguation | batch_69ccd58bd21881908b860e3ee469af13 |
completed | April 1, 2026, 8:21 a.m. |
Created at: March 30, 2026, 8:02 p.m.