Triple
T28933203
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | North Atlantic Central Water |
E733842
|
entity |
| Predicate | waterMassLayer |
P180948
|
FINISHED |
| Object | thermocline layer |
—
|
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: thermocline layer | Statement: [North Atlantic Central Water, waterMassLayer, thermocline layer]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: waterMassLayer Context triple: [North Atlantic Central Water, waterMassLayer, thermocline layer]
-
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
Indicates how the presence, amount, or distribution of water mass affects or modifies another entity or system.
-
D.
waterMassBoundaryBetween
Indicates a boundary or dividing line that separates two distinct bodies or masses of water.
-
E.
waterMassTransformation
Indicates a process in which a body of water changes from one mass type or state to another, such as through mixing, heating, cooling, or phase change.
- F. None of above. chosen
Provenance (4 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_69f05b0b49b08190b8994b339c7980f6 |
completed | April 28, 2026, 7 a.m. |
| NER | Named-entity recognition | batch_69f75dc25fa08190b371faf36d9fb72c |
completed | May 3, 2026, 2:37 p.m. |
| PD | Predicate disambiguation | batch_69f758586534819083e91172f4bf5098 |
completed | May 3, 2026, 2:14 p.m. |
| PDg | Predicate description generation | batch_69f75dc140c4819085063d6c4c36ca61 |
completed | May 3, 2026, 2:37 p.m. |
Created at: April 28, 2026, 8:30 a.m.