Triple
T19041501
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Kīlauea summit caldera |
E466012
|
entity |
| Predicate | gasEmission |
P70370
|
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: [Kīlauea summit caldera, gasEmission, sulfur dioxide]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: gasEmission Context triple: [Kīlauea summit caldera, gasEmission, sulfur dioxide]
-
A.
hasPersistentGasEmissions
chosen
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.
emissionsComparedToDiesel
Indicates how the emissions produced by something compare in amount or impact to those produced by diesel.
-
E.
emissionType
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_69d8dd0359648190bc2a9202c5cf29d2 |
completed | April 10, 2026, 11:20 a.m. |
| NER | Named-entity recognition | batch_69e5d80118248190af6b4c74df5085ad |
completed | April 20, 2026, 7:38 a.m. |
| PD | Predicate disambiguation | batch_69e4b99633c8819097988608c278ecf8 |
completed | April 19, 2026, 11:16 a.m. |
Created at: April 10, 2026, 12:02 p.m.