Triple
T34950612
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Bobrowniki–Berestovitsa |
E1007980
|
entity |
| Predicate | hasSideIn |
P195287
|
FINISHED |
| Object | Belarus |
—
|
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: Belarus | Statement: [Bobrowniki–Berestovitsa, hasSideIn, Belarus]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasSideIn Context triple: [Bobrowniki–Berestovitsa, hasSideIn, Belarus]
-
A.
hasASideOf
Indicates that one entity possesses or includes a particular side or face as part of its structure or boundary.
-
B.
isOneOfSidesOf
Indicates that an entity is one of the boundary edges or lateral faces that form part of another entity.
-
C.
hasReserveSideIn
Indicates that an entity serves as the reserve or backup side within a specified context, location, or configuration.
-
D.
hasBside
Indicates that one item serves as the B-side counterpart or secondary track associated with another primary item, typically in a recording or media release.
-
E.
onSide
Indicates that one entity is positioned along or adjacent to the side of another entity.
- 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_69f76dc5d4308190b77553ee07b1ede6 |
completed | May 3, 2026, 3:46 p.m. |
| NER | Named-entity recognition | batch_69fdb45537288190b6791078d4a6899f |
completed | May 8, 2026, 10 a.m. |
| PD | Predicate disambiguation | batch_69fdb39ad96481908376d7def9fafc13 |
completed | May 8, 2026, 9:57 a.m. |
| PDg | Predicate description generation | batch_69fdb4544b548190b8971f8055d48caa |
completed | May 8, 2026, 10 a.m. |
Created at: May 3, 2026, 4 p.m.