Triple
T3985491
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Mount Natib |
E86860
|
entity |
| Predicate | craterType |
P17518
|
FINISHED |
| Object | caldera-like depression |
—
|
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: caldera-like depression | Statement: [Mount Natib, craterType, caldera-like depression]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: craterType Context triple: [Mount Natib, craterType, caldera-like depression]
-
A.
craterLakeType
Indicates that the subject is a lake formed in or associated with a volcanic crater, specifying this particular type of lake.
-
B.
typeOfVolcanicFeature
chosen
Indicates that one entity is classified as a specific kind or category of volcanic feature represented by the other entity.
-
C.
volcanismType
Indicates the specific kind or style of volcanic activity or processes associated with an entity.
-
D.
craterDiameter
Indicates the measured width of a crater from one rim edge to the opposite rim edge.
-
E.
craterDepth
Indicates the measured vertical distance from a crater’s rim down to its lowest point.
- 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_69aed93fd9d4819085d3b2137d2346cb |
completed | March 9, 2026, 2:29 p.m. |
| NER | Named-entity recognition | batch_69aefa3ef7ac8190abe02f440ff83c43 |
completed | March 9, 2026, 4:50 p.m. |
| PD | Predicate disambiguation | batch_69aef8f492ac819089dbb9436dbcdd2b |
completed | March 9, 2026, 4:44 p.m. |
Created at: March 9, 2026, 3:33 p.m.