Triple
T38457994
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Paternò |
E912369
|
entity |
| Predicate | isPartOfVolcanicArea |
P47953
|
FINISHED |
| Object | Mount Etna region |
—
|
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: Mount Etna region | Statement: [Paternò, isPartOfVolcanicArea, Mount Etna region]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: isPartOfVolcanicArea Context triple: [Paternò, isPartOfVolcanicArea, Mount Etna region]
-
A.
containsVolcanicRegion
Indicates that one entity geographically includes or encompasses an area characterized by volcanic features or activity.
-
B.
isPartOfVolcanicSystem
chosen
Indicates that one entity belongs to, or is a component within, a larger volcanic system or complex.
-
C.
isVolcanic
Indicates that something is characterized by or related to volcanic activity, such as originating from, produced by, or associated with a volcano.
-
D.
hasVolcanicLandform
Indicates that one entity possesses, contains, or is characterized by a volcanic landform (such as a volcano, caldera, or lava plateau).
-
E.
isVolcanicEdificeOn
Indicates that a volcanic edifice is physically located on or built upon a specified surface or geological feature.
- 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_69f76e84e2dc81908badf05b3aafa9ea |
completed | May 3, 2026, 3:49 p.m. |
| NER | Named-entity recognition | batch_6a00383e868c819098fd17e25fcbdb04 |
completed | May 10, 2026, 7:48 a.m. |
| PD | Predicate disambiguation | batch_6a0037cc59688190b7b9da939a413db3 |
completed | May 10, 2026, 7:46 a.m. |
Created at: May 3, 2026, 4:31 p.m.