Triple
T33389842
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Sebastes goodei |
E855014
|
entity |
| Predicate | commercialImportanceRegion |
P181277
|
FINISHED |
| Object | California Current region |
—
|
NE NERFINISHED |
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: California Current region | Statement: [Sebastes goodei, commercialImportanceRegion, California Current region]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: commercialImportanceRegion Context triple: [Sebastes goodei, commercialImportanceRegion, California Current region]
-
A.
regionalEconomicImportance
Indicates the degree to which something significantly contributes to or influences the economy of a specific geographic region.
-
B.
continentalImportance
Indicates the degree to which something is significant or influential at the scale of an entire continent.
-
C.
economicArea
Indicates that one entity is part of, associated with, or falls under the jurisdiction of a defined economic region or zone of another entity.
-
D.
regionalEconomyType
Indicates the type or classification of an economy associated with a specific region.
-
E.
marketRegion
Indicates the geographic or demographic area in which a product, service, or entity is actively marketed or targeted.
- 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_69f3496d54048190a1cb91fdd7caa6ea |
completed | April 30, 2026, 12:22 p.m. |
| NER | Named-entity recognition | batch_69f7675b12848190a3569cfda29c5b0e |
completed | May 3, 2026, 3:18 p.m. |
| PD | Predicate disambiguation | batch_69f762f4b59481909f70074f11825bfb |
completed | May 3, 2026, 3 p.m. |
| PDg | Predicate description generation | batch_69f76759b3c48190ad8f1b33596f98c4 |
completed | May 3, 2026, 3:18 p.m. |
Created at: May 1, 2026, 1:35 a.m.