Triple
T2649711
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Ubinas volcano |
E53866
|
entity |
| Predicate | gasEmissionType |
P22265
|
FINISHED |
| Object | sulfur dioxide-rich fumaroles |
—
|
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-rich fumaroles | Statement: [Ubinas volcano, gasEmissionType, sulfur dioxide-rich fumaroles]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: gasEmissionType Context triple: [Ubinas volcano, gasEmissionType, sulfur dioxide-rich fumaroles]
-
A.
emissionsControl
Indicates a relationship where one entity regulates, limits, or manages the release of emissions produced by another entity or process.
-
B.
exhaustType
Indicates the specific kind or configuration of exhaust system associated with an entity.
-
C.
typeOfGasUsed
Indicates the specific kind of gas that is utilized in relation to an entity or process.
-
D.
combustionType
Indicates the specific manner or category of combustion process by which something burns or reacts chemically with an oxidizer.
-
E.
gasContent
chosen
Indicates that one entity has, contains, or is characterized by a certain amount or type of gas.
- 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_69ab495e192081909c77b622e8e7e15a |
completed | March 6, 2026, 9:38 p.m. |
| NER | Named-entity recognition | batch_69abd91ca1288190ba302b04bac4c153 |
completed | March 7, 2026, 7:51 a.m. |
| PD | Predicate disambiguation | batch_69abd814298c8190952f05aed43f6bb8 |
completed | March 7, 2026, 7:47 a.m. |
Created at: March 6, 2026, 9:53 p.m.