Triple
T38289974
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Norwegian–Russian Pomor trade region |
E1022329
|
entity |
| Predicate | culturalExchangeType |
P25798
|
FINISHED |
| Object | language contact |
—
|
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: language contact | Statement: [Norwegian–Russian Pomor trade region, culturalExchangeType, language contact]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: culturalExchangeType Context triple: [Norwegian–Russian Pomor trade region, culturalExchangeType, language contact]
-
A.
culturalInteraction
chosen
Indicates interactions or exchanges between entities that involve cultural practices, values, expressions, or influences.
-
B.
culturalType
Indicates the classification of something according to its cultural category, style, or tradition.
-
C.
culturalExport
Indicates that something originating in one culture is transmitted, adopted, or influential in another culture or region.
-
D.
haveCulturalExchangeAgreements
Indicates that two entities are formally engaged in mutual cultural exchange through established agreements or partnerships.
-
E.
hasCrossBorderCulturalEvents
Indicates that there are cultural events or activities taking place that involve or connect participants, communities, or influences from more than one country.
- 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_69f76df190f081908d5aa02c8a9286d0 |
completed | May 3, 2026, 3:46 p.m. |
| NER | Named-entity recognition | batch_69fd44474ed48190ac372e4c88d762ed |
completed | May 8, 2026, 2:02 a.m. |
| PD | Predicate disambiguation | batch_69fd41ef28a48190a66959be5c964461 |
completed | May 8, 2026, 1:52 a.m. |
Created at: May 3, 2026, 4:30 p.m.