Triple
T35450996
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | North Atlantic coastal zone |
E1024624
|
entity |
| Predicate | hasProductivity |
P12616
|
FINISHED |
| Object | high primary productivity in many areas |
—
|
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: high primary productivity in many areas | Statement: [North Atlantic coastal zone, hasProductivity, high primary productivity in many areas]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasProductivity Context triple: [North Atlantic coastal zone, hasProductivity, high primary productivity in many areas]
-
A.
productivityLevel
chosen
Indicates the degree or intensity of how much useful output or work an entity produces over a given period or context.
-
B.
hasWorkProduct
Indicates that one entity produces, creates, or is responsible for a particular work product or output associated with it.
-
C.
hasProduction
Indicates that an entity is associated with, or responsible for, the creation or manufacture of another entity or product.
-
D.
producesWork
Indicates that an entity creates, generates, or brings into existence a work (such as a product, artwork, document, or other output).
-
E.
hasProduct
Indicates that an entity possesses, offers, or is associated with a particular product.
- 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_69f76df92f108190817222e520e22268 |
completed | May 3, 2026, 3:47 p.m. |
| NER | Named-entity recognition | batch_6a037c8d06cc8190ab6a5e18d9d2571e |
completed | May 12, 2026, 7:16 p.m. |
| PD | Predicate disambiguation | batch_6a037a0324d08190ac5b610cc0f6a38c |
completed | May 12, 2026, 7:05 p.m. |
Created at: May 3, 2026, 4:04 p.m.