Triple
T37148550
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Mediterranean volcanic province |
E920303
|
entity |
| Predicate | containsActiveVolcanoes |
P203416
|
FINISHED |
| Object | true |
—
|
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: true | Statement: [Mediterranean volcanic province, containsActiveVolcanoes, true]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: containsActiveVolcanoes Context triple: [Mediterranean volcanic province, containsActiveVolcanoes, true]
-
A.
hasVolcanicActivity
Indicates that the subject exhibits or is associated with ongoing or past volcanic processes, such as eruptions, lava flows, or related geothermal activity.
-
B.
hasVolcano
Indicates that one entity possesses, contains, or is the location of a volcano.
-
C.
oneOfMostActiveVolcanoesIn
Indicates that a volcano is among the most active volcanoes located within a specified geographic area or region.
-
D.
hasVolcanicLandform
Indicates that one entity possesses, contains, or is characterized by a volcanic landform (such as a volcano, caldera, or lava plateau).
-
E.
containsVolcanicRegion
Indicates that one entity geographically includes or encompasses an area characterized by volcanic features or activity.
- F. None of above. chosen
Provenance (4 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_69f76e9f87c08190b4c8f7fafbd8345a |
completed | May 3, 2026, 3:49 p.m. |
| NER | Named-entity recognition | batch_6a017969ff908190a7a1a46b3f5ae362 |
completed | May 11, 2026, 6:38 a.m. |
| PD | Predicate disambiguation | batch_6a017609ff4c8190aba8a1864d39a608 |
completed | May 11, 2026, 6:24 a.m. |
| PDg | Predicate description generation | batch_6a01796929088190a09c990c6b4a312c |
completed | May 11, 2026, 6:38 a.m. |
Created at: May 3, 2026, 4:15 p.m.