Triple
T25980673
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Bougainville volcanic arc |
E646060
|
entity |
| Predicate | hasMagmaType |
P43528
|
FINISHED |
| Object | calc-alkaline magma |
—
|
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: calc-alkaline magma | Statement: [Bougainville volcanic arc, hasMagmaType, calc-alkaline magma]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasMagmaType Context triple: [Bougainville volcanic arc, hasMagmaType, calc-alkaline magma]
-
A.
hasMagmaComposition
Indicates that something possesses or is characterized by a specific magma composition.
-
B.
magmaType
chosen
Indicates the specific classification or type of magma associated with or characterizing an entity.
-
C.
hasMineType
Indicates that an entity is associated with or characterized by a specific type or category of mine.
-
D.
hasMaterialType
Indicates that something is composed of, made from, or characterized by a specific type of material.
-
E.
hasConcretionType
Indicates that an entity possesses or is associated with a specific type or category of concretion.
- 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_69e77e881fc08190ba1c8dc7e2a07f97 |
completed | April 21, 2026, 1:41 p.m. |
| NER | Named-entity recognition | batch_69fba2877b248190a974eb092243c0c4 |
completed | May 6, 2026, 8:20 p.m. |
| PD | Predicate disambiguation | batch_69fb8d06a1b48190a937aa410d159dfa |
completed | May 6, 2026, 6:48 p.m. |
Created at: April 22, 2026, 8:54 a.m.