Triple
T35994021
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Sitka fishing fleet |
E1040928
|
entity |
| Predicate | primaryCatchCategory |
—
|
GENERATED |
| Object | wild-caught seafood |
—
|
UNRECOGNIZED GENERATED |
How this triple was built (1 step)
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.
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: primaryCatchCategory Context triple: [Sitka fishing fleet, primaryCatchCategory, wild-caught seafood]
-
A.
primaryCatch
chosen
Indicates that an entity is the main or most significant target, recipient, or object captured or obtained in a given context.
-
B.
primaryCauseCategory
Indicates the main type or classification of cause responsible for an outcome or event.
-
C.
primaryType
Indicates the main or most fundamental category or classification assigned to an entity, distinguishing it from any secondary or auxiliary types.
-
D.
primaryArea
Indicates that one entity is the main or most important area, domain, or field associated with another entity.
-
E.
primaryEventType
Indicates the main or most significant category of event with which an entity, record, or occurrence is primarily associated.
- F. None of above.
Provenance (1 batch)
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_69f76e29084c819083987b828d414de7 |
completed | May 3, 2026, 3:47 p.m. |
Created at: May 3, 2026, 4:07 p.m.