Triple
T34434190
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | NATO partnerships |
E883908
|
entity |
| Predicate | hasPartnerCountryExample |
P200390
|
FINISHED |
| Object | Ukraine |
—
|
NE NERFINISHED |
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: Ukraine | Statement: [NATO partnerships, hasPartnerCountryExample, Ukraine]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasPartnerCountryExample Context triple: [NATO partnerships, hasPartnerCountryExample, Ukraine]
-
A.
hasPartner
Indicates that one entity is in a partner relationship (such as romantic, life, or business partnership) with another entity.
-
B.
hasExPartner
Indicates that one entity was formerly in a romantic or intimate partnership with another entity, but that relationship has ended.
-
C.
countryPartner
Indicates a formal partnership relationship between two countries, such as cooperation, alliance, or strategic collaboration.
-
D.
hasGlobalPartner
Indicates that an entity maintains a formal partnership or collaborative relationship with another entity at an international or worldwide level.
-
E.
hasPartnerOrganization
Indicates that an entity is formally associated or collaborates with another entity as a partner organization.
- 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_69f349c548d88190978e2a82502c03d0 |
completed | April 30, 2026, 12:23 p.m. |
| NER | Named-entity recognition | batch_69ff878f41888190bcb3bc41ad26081a |
completed | May 9, 2026, 7:14 p.m. |
| PD | Predicate disambiguation | batch_69ff854082d88190aad3bfedf05e849f |
completed | May 9, 2026, 7:04 p.m. |
| PDg | Predicate description generation | batch_69ff878e8334819097e3c4bb5ca6ffa5 |
completed | May 9, 2026, 7:14 p.m. |
Created at: May 1, 2026, 2 a.m.