Triple
T4909026
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Kamchatka Peninsula |
E110185
|
entity |
| Predicate | numberOfActiveVolcanoes |
P58537
|
FINISHED |
| Object | around 30 |
—
|
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: around 30 | Statement: [Kamchatka Peninsula, numberOfActiveVolcanoes, around 30]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: numberOfActiveVolcanoes Context triple: [Kamchatka Peninsula, numberOfActiveVolcanoes, around 30]
-
A.
numberOfVolcanoes
chosen
Indicates the count of volcanoes associated with a given entity or within a specified context.
-
B.
oneOfMostActiveVolcanoesIn
Indicates that a volcano is among the most active volcanoes located within a specified geographic area or region.
-
C.
volcanoNumber
Indicates that an entity is assigned a specific identifying number within a system or catalog of volcanoes.
-
D.
volcanicStatus
Indicates the current activity state or condition of a volcano, such as active, dormant, or extinct.
-
E.
percentageOfWorldVolcanoes
Indicates the proportion of all volcanoes on Earth that is accounted for by a given entity.
- 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_69bd44132b94819088522d92beaadc78 |
completed | March 20, 2026, 12:56 p.m. |
| NER | Named-entity recognition | batch_69bd6e765094819099481f4f2dd7c47d |
completed | March 20, 2026, 3:57 p.m. |
| PD | Predicate disambiguation | batch_69bd6c325e188190823836d79934e9bc |
completed | March 20, 2026, 3:48 p.m. |
Created at: March 20, 2026, 1:29 p.m.