Triple
T28933194
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | North Atlantic Central Water |
E733842
|
entity |
| Predicate | waterColumnProperty |
P180867
|
FINISHED |
| Object | relatively uniform temperature |
—
|
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: relatively uniform temperature | Statement: [North Atlantic Central Water, waterColumnProperty, relatively uniform temperature]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: waterColumnProperty Context triple: [North Atlantic Central Water, waterColumnProperty, relatively uniform temperature]
-
A.
waterColumnZone
Indicates the specific vertical region or layer within a body of water where an entity or process is located or occurs.
-
B.
waterVolume
Indicates the amount of water present in or associated with an entity, typically measured as a volume.
-
C.
waterFilled
Indicates that one entity is filled or occupied with water, typically to a certain level or capacity.
-
D.
hasWaterLevelCharacteristic
Indicates that an entity is associated with a specific property, feature, or behavior related to its water level.
-
E.
waterTension
Indicates the relationship in which a liquid exhibits surface tension, resisting external force at its interface due to cohesive molecular forces.
- 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_69f757898fe48190b124dc7301672623 |
completed | May 3, 2026, 2:11 p.m. |
| PD | Predicate disambiguation | batch_69f754c484348190948d2a04ff228fb1 |
completed | May 3, 2026, 1:59 p.m. |
| PDg | Predicate description generation | batch_69f75788d40c819083bf2567b3091585 |
completed | May 3, 2026, 2:11 p.m. |
Created at: April 28, 2026, 8:30 a.m.