Triple
T8712064
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Aqua-Lung |
E206799
|
entity |
| Predicate | gasExhaustType |
P32744
|
FINISHED |
| Object | exhausts exhaled gas into surrounding water |
—
|
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: exhausts exhaled gas into surrounding water | Statement: [Aqua-Lung, gasExhaustType, exhausts exhaled gas into surrounding water]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: gasExhaustType Context triple: [Aqua-Lung, gasExhaustType, exhausts exhaled gas into surrounding water]
-
A.
exhaustType
chosen
Indicates the specific kind or configuration of exhaust system associated with an entity.
-
B.
emissionType
Indicates the specific category or kind of emission associated with an entity or activity.
-
C.
combustionType
Indicates the specific manner or category of combustion process by which something burns or reacts chemically with an oxidizer.
-
D.
hasPersistentGasEmissions
Indicates that an entity continuously or repeatedly releases gaseous substances over an extended period.
-
E.
typeOfGasUsed
Indicates the specific kind of gas that is utilized in relation to an entity or process.
- 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_69ca83572d4881909bef3be2b578d539 |
completed | March 30, 2026, 2:06 p.m. |
| NER | Named-entity recognition | batch_69cc5c32aebc8190ba19299ce9a18efd |
completed | March 31, 2026, 11:43 p.m. |
| PD | Predicate disambiguation | batch_69cc456e806c819087e7d66ee737f242 |
completed | March 31, 2026, 10:06 p.m. |
Created at: March 30, 2026, 6:35 p.m.