Triple
T17104050
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Kerinci Volcano |
E415051
|
entity |
| Predicate | craterLake |
P125936
|
FINISHED |
| Object | no permanent crater lake |
—
|
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: no permanent crater lake | Statement: [Kerinci Volcano, craterLake, no permanent crater lake]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: craterLake Context triple: [Kerinci Volcano, craterLake, no permanent crater lake]
-
A.
craterLakeType
Indicates that the subject is a lake formed in or associated with a volcanic crater, specifying this particular type of lake.
-
B.
craterLakeDepth
Indicates the depth measurement of a crater lake, typically from its surface to the deepest point.
-
C.
craterLakeLocation
Indicates that a crater lake is located at or within a specified geographic place or feature.
-
D.
summitCrater
Indicates the relationship where a crater is located at or forms the summit of a volcanic or mountainous feature.
-
E.
craterLakeNotability
Indicates that an entity is notable or significant specifically for having or being associated with a crater lake.
- 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_69d886cfc8e88190b05ba466edd35591 |
completed | April 10, 2026, 5:12 a.m. |
| NER | Named-entity recognition | batch_69e3dc2591a881909c5f4f7db47f4d6c |
completed | April 18, 2026, 7:31 p.m. |
| PD | Predicate disambiguation | batch_69e35d6b1b988190a8d6b6fe78c35e59 |
completed | April 18, 2026, 10:31 a.m. |
| PDg | Predicate description generation | batch_69e37542d060819082aa73948eb8ebd4 |
completed | April 18, 2026, 12:12 p.m. |
Created at: April 10, 2026, 5:35 a.m.