Triple
T23721514
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Югорский Шар |
E586155
|
entity |
| Predicate | соединяетМоре |
P153697
|
FINISHED |
| Object | Баренцево море |
—
|
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: Баренцево море | Statement: [Югорский Шар, соединяетМоре, Баренцево море]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: соединяетМоре Context triple: [Югорский Шар, соединяетМоре, Баренцево море]
-
A.
seaName
Indicates that an entity is identified by or associated with a particular sea’s name.
-
B.
majorOcean
Indicates that one entity is the primary or most significant ocean associated with the other entity.
-
C.
nearestSea
Indicates that one location is the closest sea to a given place compared to all other seas.
-
D.
isSeawardOf
Indicates that one location lies closer to or toward the sea relative to another location.
-
E.
seaOf
Indicates a relationship where one entity is metaphorically or literally surrounded or filled by another like a vast sea, emphasizing overwhelming abundance or expansiveness.
- 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_69e24906fb108190a6898751e46bdc11 |
completed | April 17, 2026, 2:51 p.m. |
| NER | Named-entity recognition | batch_69f1b91177c08190bea6e62ed13e2495 |
completed | April 29, 2026, 7:53 a.m. |
| PD | Predicate disambiguation | batch_69f155e4b1148190836ede4741dcb888 |
completed | April 29, 2026, 12:50 a.m. |
| PDg | Predicate description generation | batch_69f15b453da88190889a8d9b21727958 |
completed | April 29, 2026, 1:13 a.m. |
Created at: April 17, 2026, 7:01 p.m.