Triple
T13349856
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Earth's atmosphere |
E318041
|
entity |
| Predicate | containsGreenhouseGas |
P109131
|
FINISHED |
| Object | water vapor |
—
|
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: water vapor | Statement: [Earth's atmosphere, containsGreenhouseGas, water vapor]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: containsGreenhouseGas Context triple: [Earth's atmosphere, containsGreenhouseGas, water vapor]
-
A.
hasGreenhouseEffect
Indicates that one entity causes or contributes to a greenhouse effect on another entity, typically by trapping heat through atmospheric or environmental mechanisms.
-
B.
hasGreenhouse
Indicates that an entity possesses or includes a greenhouse structure or facility.
-
C.
hasPersistentGasEmissions
Indicates that an entity continuously or repeatedly releases gaseous substances over an extended period.
-
D.
greenhouseGasesConsidered
Indicates that certain greenhouse gases are taken into account or included in an assessment, calculation, or decision-making process.
-
E.
containsHotGas
Indicates that one entity encloses or holds within it a quantity or region of hot gas.
- F. None of above. chosen
Provenance (4 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_69d806b5a3c08190b42c267fb092f98a |
completed | April 9, 2026, 8:06 p.m. |
| NER | Named-entity recognition | batch_69d99e8c2f1c819094f0970f35f18afa |
completed | April 11, 2026, 1:06 a.m. |
| PD | Predicate disambiguation | batch_69d98f6e53d88190bd6aa42f69b10ffb |
completed | April 11, 2026, 12:01 a.m. |
| PDg | Predicate description generation | batch_69d99073e4708190843bda3a1ae78f43 |
completed | April 11, 2026, 12:06 a.m. |
Created at: April 9, 2026, 9:31 p.m.