Triple
T23524091
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Mount Bisoke |
E574585
|
entity |
| Predicate | craterLakeDiameter |
P153096
|
FINISHED |
| Object | approximately 400 m |
—
|
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: approximately 400 m | Statement: [Mount Bisoke, craterLakeDiameter, approximately 400 m]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: craterLakeDiameter Context triple: [Mount Bisoke, craterLakeDiameter, approximately 400 m]
-
A.
craterLakeDepth
Indicates the depth measurement of a crater lake, typically from its surface to the deepest point.
-
B.
craterDiameter
Indicates the measured width of a crater from one rim edge to the opposite rim edge.
-
C.
craterLake
Indicates that one entity is a lake formed within or occupying a crater associated with another entity.
-
D.
craterLakeType
Indicates that the subject is a lake formed in or associated with a volcanic crater, specifying this particular type of lake.
-
E.
summitCraterDiameter
Indicates the diameter of the crater located at the summit of a volcanic or mountainous feature.
- 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_69e245bb3dcc8190ba9a2b35972b58d0 |
completed | April 17, 2026, 2:37 p.m. |
| NER | Named-entity recognition | batch_69f1ac71ec8881909bfb706efdc2518f |
completed | April 29, 2026, 7 a.m. |
| PD | Predicate disambiguation | batch_69f1189d75b48190a1c01928a993c9fb |
completed | April 28, 2026, 8:29 p.m. |
| PDg | Predicate description generation | batch_69f12760784c8190aaeff002ef31febe |
completed | April 28, 2026, 9:32 p.m. |
Created at: April 17, 2026, 6:09 p.m.