Triple
T345956
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Humboldt Current |
E6942
|
entity |
| Predicate | waterTemperatureCharacteristic |
P9307
|
FINISHED |
| Object | cold |
—
|
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: cold | Statement: [Humboldt Current, waterTemperatureCharacteristic, cold]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: waterTemperatureCharacteristic Context triple: [Humboldt Current, waterTemperatureCharacteristic, cold]
-
A.
waterTemperatureType
chosen
Indicates the classification or category of a water body’s temperature (e.g., cold, warm, hot) associated with an entity or context.
-
B.
hasTemperature
Indicates that an entity possesses or is characterized by a specific temperature value.
-
C.
waterType
Indicates the specific kind or category of water associated with an entity (e.g., fresh, salt, brackish).
-
D.
waterMassType
Indicates the classification of a body of water according to its physical or compositional type.
-
E.
seaLevelCharacteristic
Indicates a characteristic, property, or attribute specifically related to sea level.
- 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_69a2e7951ba08190960e90823b5078f3 |
completed | Feb. 28, 2026, 1:03 p.m. |
| NER | Named-entity recognition | batch_69a2eb0240e88190bc70784772f5fa30 |
completed | Feb. 28, 2026, 1:17 p.m. |
| PD | Predicate disambiguation | batch_69a2e95451a4819090f4e4fb9b21a493 |
completed | Feb. 28, 2026, 1:10 p.m. |
Created at: Feb. 28, 2026, 1:08 p.m.