Triple
T16668217
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Laguna Caliente |
E405037
|
entity |
| Predicate | emittedGases |
P46939
|
FINISHED |
| Object | sulfur dioxide |
—
|
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: sulfur dioxide | Statement: [Laguna Caliente, emittedGases, sulfur dioxide]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: emittedGases Context triple: [Laguna Caliente, emittedGases, sulfur dioxide]
-
A.
hasPersistentGasEmissions
Indicates that an entity continuously or repeatedly releases gaseous substances over an extended period.
-
B.
emissionsControl
Indicates a relationship where one entity regulates, limits, or manages the release of emissions produced by another entity or process.
-
C.
containsGreenhouseGas
Indicates that one entity includes or is composed of greenhouse gases within it.
-
D.
greenhouseGasesConsidered
Indicates that certain greenhouse gases are taken into account or included in an assessment, calculation, or decision-making process.
-
E.
emissionType
chosen
Indicates the specific category or kind of emission associated with an entity or activity.
- 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_69d8838b5fbc81908c6575c132b82e80 |
completed | April 10, 2026, 4:58 a.m. |
| NER | Named-entity recognition | batch_69e37c9e9a208190afab499897ce4361 |
completed | April 18, 2026, 12:44 p.m. |
| PD | Predicate disambiguation | batch_69e319b1d7f08190b5ecb4a68c636c15 |
completed | April 18, 2026, 5:42 a.m. |
Created at: April 10, 2026, 5:18 a.m.