Triple
T6072362
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Irminger Current |
E135313
|
entity |
| Predicate | carriesWaterMass |
P9980
|
FINISHED |
| Object | subtropical 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: subtropical waters | Statement: [Irminger Current, carriesWaterMass, subtropical waters]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: carriesWaterMass Context triple: [Irminger Current, carriesWaterMass, subtropical waters]
-
A.
includesWaterMass
chosen
Indicates that one entity contains, encompasses, or has within its boundaries a body or mass of water.
-
B.
transportsWaterTo
Indicates that one entity carries or conveys water from its location or source to another entity or destination.
-
C.
hasWaterCharacteristics
Indicates that one entity possesses qualities, properties, or behaviors characteristic of water.
-
D.
waterMassType
Indicates the classification of a body of water according to its physical or compositional type.
-
E.
waterMassProperty
Indicates a relationship where a specific physical or chemical property is attributed to a body or mass of water.
- 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_69c00879e8048190b690717d19c5bc03 |
completed | March 22, 2026, 3:19 p.m. |
| NER | Named-entity recognition | batch_69c05759d29481908912015e734ab943 |
completed | March 22, 2026, 8:55 p.m. |
| PD | Predicate disambiguation | batch_69c049f21fe08190995df3c5c05fb8ea |
completed | March 22, 2026, 7:58 p.m. |
Created at: March 22, 2026, 4:11 p.m.