Triple
T1063468
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Mount Tambora |
E22956
|
entity |
| Predicate | hasCraterLake |
P18447
|
FINISHED |
| Object | small crater lakes on caldera floor |
—
|
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: small crater lakes on caldera floor | Statement: [Mount Tambora, hasCraterLake, small crater lakes on caldera floor]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasCraterLake Context triple: [Mount Tambora, hasCraterLake, small crater lakes on caldera floor]
-
A.
hasCrater
Indicates that one entity possesses or features a crater on its surface.
-
B.
craterLakeType
chosen
Indicates that the subject is a lake formed in or associated with a volcanic crater, specifying this particular type of lake.
-
C.
craterLakeDepth
Indicates the depth measurement of a crater lake, typically from its surface to the deepest point.
-
D.
hasMajorLake
Indicates that a geographic region or area contains at least one significant lake within its boundaries.
-
E.
summitCrater
Indicates the relationship where a crater is located at or forms the summit of a volcanic or mountainous feature.
- 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_69a493dada0481909c43649f9843ea91 |
completed | March 1, 2026, 7:30 p.m. |
| NER | Named-entity recognition | batch_69a4b8f85cc08190ae03ac6c84936cc5 |
completed | March 1, 2026, 10:08 p.m. |
| PD | Predicate disambiguation | batch_69a4b7359eb881909c868a558861cc18 |
completed | March 1, 2026, 10:01 p.m. |
Created at: March 1, 2026, 7:42 p.m.