Triple
T9842463
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Agulhas Retroflection |
E239257
|
entity |
| Predicate | waterMassExport |
P8157
|
FINISHED |
| Object | South Atlantic thermocline waters |
—
|
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: South Atlantic thermocline waters | Statement: [Agulhas Retroflection, waterMassExport, South Atlantic thermocline waters]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: waterMassExport Context triple: [Agulhas Retroflection, waterMassExport, South Atlantic thermocline waters]
-
A.
waterMassType
Indicates the classification of a body of water according to its physical or compositional type.
-
B.
waterMassProperty
Indicates a relationship where a specific physical or chemical property is attributed to a body or mass of water.
-
C.
waterMassInfluence
chosen
Indicates how the presence, amount, or distribution of water mass affects or modifies another entity or system.
-
D.
includesWaterMass
Indicates that one entity contains, encompasses, or has within its boundaries a body or mass of water.
-
E.
surfaceWater
Indicates that one entity consists of or contains surface-level water associated with 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_69ca84e3f0c48190ada72a65ebd50efd |
completed | March 30, 2026, 2:12 p.m. |
| NER | Named-entity recognition | batch_69cdb34e3420819084bb31170e643cd0 |
completed | April 2, 2026, 12:07 a.m. |
| PD | Predicate disambiguation | batch_69cd03e57cac8190914bb5ae608a6e0e |
completed | April 1, 2026, 11:39 a.m. |
Created at: March 30, 2026, 8:33 p.m.