Triple
T2709802
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | eastern North Pacific Ocean |
E59830
|
entity |
| Predicate | hasSeaSurfaceTemperature |
P9307
|
FINISHED |
| Object | warm in tropical latitudes |
—
|
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: warm in tropical latitudes | Statement: [eastern North Pacific Ocean, hasSeaSurfaceTemperature, warm in tropical latitudes]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasSeaSurfaceTemperature Context triple: [eastern North Pacific Ocean, hasSeaSurfaceTemperature, warm in tropical latitudes]
-
A.
hasTemperature
Indicates that an entity possesses or is characterized by a specific temperature value.
-
B.
waterTemperatureType
chosen
Indicates the classification or category of a water body’s temperature (e.g., cold, warm, hot) associated with an entity or context.
-
C.
hasSeaIce
Indicates that one entity possesses, contains, or is covered by sea ice in relation to another context or location.
-
D.
seaDepth
Indicates the measured vertical distance from the sea surface down to the seafloor at a given location.
-
E.
hasSeaCondition
Indicates that an entity is associated with or characterized by a particular state or condition of the sea.
- 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_69ab4ac92a088190bc74bca14038e3de |
completed | March 6, 2026, 9:44 p.m. |
| NER | Named-entity recognition | batch_69abda7771a4819081904bd6b818b81b |
completed | March 7, 2026, 7:57 a.m. |
| PD | Predicate disambiguation | batch_69abd8224c688190bb4a362360b03007 |
completed | March 7, 2026, 7:47 a.m. |
Created at: March 6, 2026, 9:55 p.m.