Triple
T23721532
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Югорский Шар |
E586155
|
entity |
| Predicate | типСоединенияМорей |
P6307
|
FINISHED |
| Object | естественный пролив |
—
|
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: естественный пролив | Statement: [Югорский Шар, типСоединенияМорей, естественный пролив]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: типСоединенияМорей Context triple: [Югорский Шар, типСоединенияМорей, естественный пролив]
-
A.
oceanBasinType
Indicates the classification of an ocean basin according to its type or geomorphological category.
-
B.
seaConnection
Indicates a relationship where two places are connected or accessible to each other via the sea, such as by maritime routes or coastal adjacency.
-
C.
seaType
Indicates the specific classification or category of a sea associated with an entity.
-
D.
connectsBodyOfWater
chosen
Indicates a relationship where one entity serves as a link or passage between two bodies of water, allowing them to be joined or interact.
-
E.
hasMaritimeConnection
Indicates a relationship in which an entity is linked to seas, oceans, or maritime activities, such as shipping, navigation, or coastal operations.
- 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_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. |
Created at: April 17, 2026, 7:01 p.m.