Triple
T37262445
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Wallabi Group |
E924289
|
entity |
| Predicate | seaSurfaceTemperatureRegime |
P174790
|
FINISHED |
| Object | influenced by Leeuwin Current |
—
|
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: influenced by Leeuwin Current | Statement: [Wallabi Group, seaSurfaceTemperatureRegime, influenced by Leeuwin Current]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: seaSurfaceTemperatureRegime Context triple: [Wallabi Group, seaSurfaceTemperatureRegime, influenced by Leeuwin Current]
-
A.
seaSurfaceTemperatureCharacteristic
chosen
Indicates a relationship where a characteristic or property specifically describes the temperature conditions of the sea surface.
-
B.
seaType
Indicates the specific classification or category of a sea associated with an entity.
-
C.
requiresSeaSurfaceTemperature
Indicates that one entity depends on or needs a specified sea surface temperature condition to occur, function, or be valid.
-
D.
oceanographicType
Indicates the specific oceanographic classification or category associated with an entity, such as a type of ocean feature, condition, or measurement.
-
E.
seaSurfaceTemperatureAtFormation
Indicates the sea surface temperature at the time and location when the entity (e.g., a storm or system) initially formed.
- 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_69f76eabd6c481909d414a80a1345c98 |
completed | May 3, 2026, 3:50 p.m. |
| NER | Named-entity recognition | batch_69fb4134225081909fd60703b8cae397 |
completed | May 6, 2026, 1:25 p.m. |
| PD | Predicate disambiguation | batch_69fb35bf767081908de8345358ca7f44 |
completed | May 6, 2026, 12:36 p.m. |
Created at: May 3, 2026, 4:15 p.m.