Triple
T1226717
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | North Atlantic Deep Water |
E26342
|
entity |
| Predicate | waterMassProperty |
P24729
|
FINISHED |
| Object | high oxygen concentration compared to older deep 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: high oxygen concentration compared to older deep waters | Statement: [North Atlantic Deep Water, waterMassProperty, high oxygen concentration compared to older deep waters]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: waterMassProperty Context triple: [North Atlantic Deep Water, waterMassProperty, high oxygen concentration compared to older deep waters]
-
A.
waterMassType
Indicates the classification of a body of water according to its physical or compositional type.
-
B.
includesWaterMass
Indicates that one entity contains, encompasses, or has within its boundaries 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.
waterVolume
Indicates the amount of water present in or associated with an entity, typically measured as a volume.
-
E.
bodyOfWater
Indicates that one entity is a body of water that is geographically or physically associated with another entity.
- 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_69a49484688c8190a1bf285eb396a8b6 |
completed | March 1, 2026, 7:33 p.m. |
| NER | Named-entity recognition | batch_69a4be3b32a08190a36e96a3e51976eb |
completed | March 1, 2026, 10:31 p.m. |
| PD | Predicate disambiguation | batch_69a4bb65d61c8190bf0424ea0019a98b |
completed | March 1, 2026, 10:19 p.m. |
| PDg | Predicate description generation | batch_69a4bbf83584819088c69366f58586cc |
completed | March 1, 2026, 10:21 p.m. |
Created at: March 1, 2026, 7:47 p.m.