Triple
T23825260
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Yugorskiy Shar |
E589350
|
entity |
| Predicate | hasGeographicRole |
P85021
|
FINISHED |
| Object | strait between Pechora Sea and Kara Sea |
—
|
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: strait between Pechora Sea and Kara Sea | Statement: [Yugorskiy Shar, hasGeographicRole, strait between Pechora Sea and Kara Sea]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasGeographicRole Context triple: [Yugorskiy Shar, hasGeographicRole, strait between Pechora Sea and Kara Sea]
-
A.
geographicRole
chosen
Indicates a relationship where one entity serves a specific geographic function, status, or role in relation to another location or area.
-
B.
hasGeographicType
Indicates that an entity is associated with or classified by a specific type or category of geographic feature or area.
-
C.
isGeographicalEntity
Indicates that something exists as a distinct geographic feature, area, or place within physical space.
-
D.
geographicContext
Indicates that one entity is situated within, associated with, or characterized by the geographic setting or region defined by another entity.
-
E.
hasGeographicConnectionTo
Indicates a relationship where two entities are linked through a shared or relevant geographic feature, location, or spatial association.
- 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_69e25d1922d481909cab567c06a802ab |
completed | April 17, 2026, 4:17 p.m. |
| NER | Named-entity recognition | batch_69f1c7f04bdc8190842a287a86b60d3a |
completed | April 29, 2026, 8:57 a.m. |
| PD | Predicate disambiguation | batch_69f156036ad48190bc2ffdaf39218bcb |
completed | April 29, 2026, 12:51 a.m. |
Created at: April 17, 2026, 8 p.m.