Triple
T227309
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Benguela Current |
E4338
|
entity |
| Predicate | hasPhenomenon |
P1886
|
FINISHED |
| Object | oxygen minimum zones |
—
|
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: oxygen minimum zones | Statement: [Benguela Current, hasPhenomenon, oxygen minimum zones]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasPhenomenon Context triple: [Benguela Current, hasPhenomenon, oxygen minimum zones]
-
A.
phenomenon
Indicates that an entity is a perceptible event, occurrence, or process that can be observed or experienced.
-
B.
hasPerception
Indicates that one entity is aware of, senses, or recognizes another entity or phenomenon.
-
C.
hasConsequence
Indicates that one event, action, or condition leads to or results in another as its outcome or effect.
-
D.
containsMajorClimatePhenomenon
chosen
Indicates that the subject region or area includes or experiences a significant, large-scale climate-related event or pattern.
-
E.
hasNature
Indicates that something possesses, exhibits, or is characterized by a particular inherent quality, essence, or fundamental type.
- 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_69a257363ffc81909757bde7ab3404da |
completed | Feb. 28, 2026, 2:47 a.m. |
| NER | Named-entity recognition | batch_69a25d10ac248190a98dedabf5358668 |
completed | Feb. 28, 2026, 3:12 a.m. |
| PD | Predicate disambiguation | batch_69a25b5877588190af694d060377f027 |
completed | Feb. 28, 2026, 3:04 a.m. |
Created at: Feb. 28, 2026, 2:53 a.m.