Triple
T9079199
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Tanna |
E217569
|
entity |
| Predicate | volcanoTypeOfMountYasur |
P2063
|
FINISHED |
| Object | strombolian volcano |
—
|
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: strombolian volcano | Statement: [Tanna, volcanoTypeOfMountYasur, strombolian volcano]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: volcanoTypeOfMountYasur Context triple: [Tanna, volcanoTypeOfMountYasur, strombolian volcano]
-
A.
volcanismType
chosen
Indicates the specific kind or style of volcanic activity or processes associated with an entity.
-
B.
isStratovolcanoOf
Indicates that a volcano is a stratovolcano specifically associated with, or located on, a particular geographic or administrative entity.
-
C.
typeOfVolcanicFeature
Indicates that one entity is classified as a specific kind or category of volcanic feature represented by the other entity.
-
D.
isStratovolcano
Indicates that the subject is a stratovolcano, i.e., a steep, conical volcano built from alternating layers of lava, ash, and other volcanic materials.
-
E.
islandFormingVolcano
Indicates a volcano whose eruptive activity creates or has created an island above the surrounding water.
- 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_69ca83d6c14c8190bc056d927f00a2a2 |
completed | March 30, 2026, 2:08 p.m. |
| NER | Named-entity recognition | batch_69cc95c93ee48190842623b57e50f4cf |
completed | April 1, 2026, 3:49 a.m. |
| PD | Predicate disambiguation | batch_69cc65fa79bc81908b46f05c8bba920f |
completed | April 1, 2026, 12:25 a.m. |
Created at: March 30, 2026, 7:12 p.m.