Triple
T19798574
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Argentine Sea |
E475607
|
entity |
| Predicate | hasHighBiologicalProductivity |
P78558
|
FINISHED |
| Object | true |
—
|
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: true | Statement: [Argentine Sea, hasHighBiologicalProductivity, true]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasHighBiologicalProductivity Context triple: [Argentine Sea, hasHighBiologicalProductivity, true]
-
A.
hasBiosphere
Indicates that an entity possesses or supports a biosphere, i.e., a region where living organisms and ecological processes exist.
-
B.
primaryProductivity
chosen
Indicates the rate at which energy is converted by producers (e.g., plants, algae) into biomass through processes like photosynthesis in an ecosystem.
-
C.
hasBiodiversityFeature
Indicates that an entity possesses or is associated with a specific biodiversity-related characteristic, attribute, or element.
-
D.
hasBiodiversitySignificance
Indicates that something possesses ecological importance due to the variety, rarity, or conservation value of the species and habitats it supports.
-
E.
hasEconomicImportanceFor
Indicates that one entity holds economic value, benefit, or significance for another 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_69d8e51b014081908b263e167370529a |
completed | April 10, 2026, 11:55 a.m. |
| NER | Named-entity recognition | batch_69e653c930a08190a2263db7170edd71 |
completed | April 20, 2026, 4:26 p.m. |
| PD | Predicate disambiguation | batch_69e5305858108190bbbfdb9ba3ab9f80 |
completed | April 19, 2026, 7:43 p.m. |
Created at: April 10, 2026, 1:49 p.m.