Triple
T2515498
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Stromboli |
E55402
|
entity |
| Predicate | Sciara del FuocoType |
P17518
|
FINISHED |
| Object | steep horseshoe-shaped depression |
—
|
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: steep horseshoe-shaped depression | Statement: [Stromboli, Sciara del FuocoType, steep horseshoe-shaped depression]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: Sciara del FuocoType Context triple: [Stromboli, Sciara del FuocoType, steep horseshoe-shaped depression]
-
A.
typeOfVolcanicFeature
chosen
Indicates that one entity is classified as a specific kind or category of volcanic feature represented by the other entity.
-
B.
isVolcanic
Indicates that something is characterized by or related to volcanic activity, such as originating from, produced by, or associated with a volcano.
-
C.
volcanismType
Indicates the specific kind or style of volcanic activity or processes associated with an entity.
-
D.
associatedVolcano
Indicates that there is a specific volcano linked or connected to the referenced entity, such as by location, impact, or relevance.
-
E.
hasVolcano
Indicates that one entity possesses, contains, or is the location of a volcano.
- 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_69ab49e4749c8190813311efd1630f1b |
completed | March 6, 2026, 9:40 p.m. |
| NER | Named-entity recognition | batch_69abd5a33234819082ad49fa6594b6be |
completed | March 7, 2026, 7:37 a.m. |
| PD | Predicate disambiguation | batch_69abd0bf37c0819088d28b5081ba7556 |
completed | March 7, 2026, 7:16 a.m. |
Created at: March 6, 2026, 9:46 p.m.