Triple
T9796357
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Lau Basin |
E237726
|
entity |
| Predicate | hasMagmaSource |
P16322
|
FINISHED |
| Object | subduction-modified mantle wedge |
—
|
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: subduction-modified mantle wedge | Statement: [Lau Basin, hasMagmaSource, subduction-modified mantle wedge]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasMagmaSource Context triple: [Lau Basin, hasMagmaSource, subduction-modified mantle wedge]
-
A.
hasMagmaComposition
Indicates that something possesses or is characterized by a specific magma composition.
-
B.
hasVolcano
Indicates that one entity possesses, contains, or is the location of a volcano.
-
C.
hasLavaFlow
Indicates that one entity exhibits, contains, or is associated with a flow of lava originating from volcanic activity.
-
D.
hasFumaroles
Indicates the presence of fumaroles (openings emitting volcanic gases or steam) associated with an entity.
-
E.
mantleSource
chosen
Indicates that something originates from, is derived from, or is supplied by the Earth's mantle as its source.
- 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_69ca84dc04488190b9c91193976c0960 |
completed | March 30, 2026, 2:12 p.m. |
| NER | Named-entity recognition | batch_69cda34a53548190a8cb524381fe2bf9 |
completed | April 1, 2026, 10:59 p.m. |
| PD | Predicate disambiguation | batch_69cd03da45a88190b71b1be3354c15a6 |
completed | April 1, 2026, 11:39 a.m. |
Created at: March 30, 2026, 8:28 p.m.