Triple
T17967436
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Nakadake |
E449248
|
entity |
| Predicate | craterLakeProperty |
P129941
|
FINISHED |
| Object | highly acidic water |
—
|
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: highly acidic water | Statement: [Nakadake, craterLakeProperty, highly acidic water]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: craterLakeProperty Context triple: [Nakadake, craterLakeProperty, highly acidic water]
-
A.
craterLake
Indicates that one entity is a lake formed within or occupying a crater associated with another entity.
-
B.
craterLakeType
Indicates that the subject is a lake formed in or associated with a volcanic crater, specifying this particular type of lake.
-
C.
craterLakeNotability
Indicates that an entity is notable or significant specifically for having or being associated with a crater lake.
-
D.
hasIslandInCraterLake
Indicates that a crater lake contains an island located within it.
-
E.
lakeProperty
Indicates that a property is located on, adjacent to, or otherwise directly associated with a 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_69d8b9f9927c8190a006110c8b996e61 |
completed | April 10, 2026, 8:51 a.m. |
| NER | Named-entity recognition | batch_69e4b13935908190b5269a84a3df2460 |
completed | April 19, 2026, 10:40 a.m. |
| PD | Predicate disambiguation | batch_69e3f8fa62688190a5d5c361ab896256 |
completed | April 18, 2026, 9:34 p.m. |
| PDg | Predicate description generation | batch_69e42d8d68288190a05dc5d7803cf823 |
completed | April 19, 2026, 1:19 a.m. |
Created at: April 10, 2026, 10:22 a.m.