Triple
T5065292
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Great Bear Lake |
E114127
|
entity |
| Predicate | hasPortionWithin |
P16690
|
FINISHED |
| Object | Arctic Circle region (broadly defined) |
—
|
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: Arctic Circle region (broadly defined) | Statement: [Great Bear Lake, hasPortionWithin, Arctic Circle region (broadly defined)]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasPortionWithin Context triple: [Great Bear Lake, hasPortionWithin, Arctic Circle region (broadly defined)]
-
A.
containsPortionOf
Indicates that one entity includes or holds a part, segment, or fraction of another entity.
-
B.
hasStatePortionIn
chosen
Indicates that a state has a geographic portion or area located within the boundaries of another region or entity.
-
C.
hasPortionDesignatedAs
Indicates that one entity has a specific part or segment that is explicitly identified or designated as another entity.
-
D.
handlesPortionOf
Indicates that one entity is responsible for managing or dealing with a specific part or subset of another entity or task.
-
E.
hasPartIn
Indicates that an entity participates in or plays a role within a larger event, process, or composite entity.
- 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_69bd443c0c8c81908663b77afb28e165 |
completed | March 20, 2026, 12:57 p.m. |
| NER | Named-entity recognition | batch_69bd7478f7988190bc0473e8af055147 |
completed | March 20, 2026, 4:23 p.m. |
| PD | Predicate disambiguation | batch_69bd715622b48190a3e8e49a5ef62b4a |
completed | March 20, 2026, 4:09 p.m. |
Created at: March 20, 2026, 1:38 p.m.