Triple
T28369999
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Central Lau Spreading Center |
E718598
|
entity |
| Predicate | hasMagmatismSource |
P198034
|
FINISHED |
| Object | mantle upwelling |
—
|
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: mantle upwelling | Statement: [Central Lau Spreading Center, hasMagmatismSource, mantle upwelling]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasMagmatismSource Context triple: [Central Lau Spreading Center, hasMagmatismSource, mantle upwelling]
-
A.
hasVolcanicLandform
Indicates that one entity possesses, contains, or is characterized by a volcanic landform (such as a volcano, caldera, or lava plateau).
-
B.
hasVolcano
Indicates that one entity possesses, contains, or is the location of a volcano.
-
C.
hasMagmaComposition
Indicates that something possesses or is characterized by a specific magma composition.
-
D.
hasVolcanicActivity
Indicates that the subject exhibits or is associated with ongoing or past volcanic processes, such as eruptions, lava flows, or related geothermal activity.
-
E.
hasVolcanicProduct
Indicates that an entity possesses, contains, or is associated with material or products originating from volcanic 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_69eff6ed5af48190be4e0adf298223e0 |
completed | April 27, 2026, 11:53 p.m. |
| NER | Named-entity recognition | batch_69fec4cffed08190b5e5e7cc0c87493e |
completed | May 9, 2026, 5:23 a.m. |
| PD | Predicate disambiguation | batch_69fec2ea7fe08190bd751b39515f69d1 |
completed | May 9, 2026, 5:15 a.m. |
| PDg | Predicate description generation | batch_69fec4cee6a081908139ea6aa608f729 |
completed | May 9, 2026, 5:23 a.m. |
Created at: April 28, 2026, 12:58 a.m.