Triple
T2810598
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Jellyfish Lake |
E54157
|
entity |
| Predicate | upperLayerCharacteristic |
P274
|
FINISHED |
| Object | oxygenated |
—
|
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: oxygenated | Statement: [Jellyfish Lake, upperLayerCharacteristic, oxygenated]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: upperLayerCharacteristic Context triple: [Jellyfish Lake, upperLayerCharacteristic, oxygenated]
-
A.
hasCharacteristic
chosen
Indicates that an entity possesses, exhibits, or is defined by a particular attribute, feature, or quality.
-
B.
protocolLayer
Indicates a relationship where a communication protocol operates at, or is associated with, a specific layer in a protocol stack or network architecture.
-
C.
level2Feature
Indicates that an entity possesses or is associated with a secondary or intermediate-level feature within a hierarchical feature structure.
-
D.
networkCharacteristic
Indicates a relationship where a specific property or feature is attributed to a network or networking context.
-
E.
level1Feature
Indicates that one entity possesses or is associated with a primary or first-tier feature of another entity.
- 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_69ab49dcee188190b5c6eca9ae9e3469 |
completed | March 6, 2026, 9:40 p.m. |
| NER | Named-entity recognition | batch_69abde335b38819090c70d5e2ca14d79 |
completed | March 7, 2026, 8:13 a.m. |
| PD | Predicate disambiguation | batch_69abdd0740208190911dc9c9546a79ae |
completed | March 7, 2026, 8:08 a.m. |
Created at: March 6, 2026, 9:59 p.m.