Triple
T35532739
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Iceland continental slope |
E1026846
|
entity |
| Predicate | channelsWaterMass |
P9980
|
FINISHED |
| Object | dense overflow waters from Denmark Strait |
—
|
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: dense overflow waters from Denmark Strait | Statement: [Iceland continental slope, channelsWaterMass, dense overflow waters from Denmark Strait]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: channelsWaterMass Context triple: [Iceland continental slope, channelsWaterMass, dense overflow waters from Denmark Strait]
-
A.
waterMassType
Indicates the classification of a body of water according to its physical or compositional type.
-
B.
includesWaterMass
chosen
Indicates that one entity contains, encompasses, or has within its boundaries a body or mass of water.
-
C.
waterMassProperty
Indicates a relationship where a specific physical or chemical property is attributed to a body or mass of water.
-
D.
producesWaterMass
Indicates that one entity generates or yields a quantity of water as a result of its action or process.
-
E.
waterMassInfluence
Indicates how the presence, amount, or distribution of water mass affects or modifies another entity or system.
- 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_69f76dff7e508190b28ceeee770dce23 |
completed | May 3, 2026, 3:47 p.m. |
| NER | Named-entity recognition | batch_69f79a54aa3c8190b2bb5d790b2d42d4 |
completed | May 3, 2026, 6:56 p.m. |
| PD | Predicate disambiguation | batch_69f7961970408190b669cc556e30a608 |
completed | May 3, 2026, 6:38 p.m. |
Created at: May 3, 2026, 4:04 p.m.