Triple
T10287717
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Pomor merchants |
E241273
|
entity |
| Predicate | navigationSeason |
P93272
|
FINISHED |
| Object | ice-free months of the Arctic seas |
—
|
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: ice-free months of the Arctic seas | Statement: [Pomor merchants, navigationSeason, ice-free months of the Arctic seas]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: navigationSeason Context triple: [Pomor merchants, navigationSeason, ice-free months of the Arctic seas]
-
A.
navigationSeasonInfluencedBy
Indicates that the conditions or characteristics of a navigation season are affected or determined by another factor or entity.
-
B.
ferrySeason
Indicates that a ferry service operates or is available during a specified season or time of year.
-
C.
recreationSeason
Indicates the time of year or specific season during which a recreational activity, facility, or area is typically used or available.
-
D.
dstSeason
Indicates the specific season during which daylight saving time (DST) is in effect for a given context or location.
-
E.
trainingSeason
Indicates the specific season or time period during which training activities or programs take place.
- 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_69d381aaafc08190af475ef58dc16aba |
completed | April 6, 2026, 9:49 a.m. |
| NER | Named-entity recognition | batch_69d4d7ccb7ec8190a538cf279e48116e |
completed | April 7, 2026, 10:09 a.m. |
| PD | Predicate disambiguation | batch_69d4d1f117708190928f92ae2611d724 |
completed | April 7, 2026, 9:44 a.m. |
| PDg | Predicate description generation | batch_69d4d7cada7881908beba55a1dc9ecb9 |
completed | April 7, 2026, 10:09 a.m. |
Created at: April 6, 2026, 11:40 a.m.