Triple
T2622229
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Kali River Rapids |
E59033
|
entity |
| Predicate | wetnessLevel |
P42283
|
FINISHED |
| Object | high |
—
|
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: high | Statement: [Kali River Rapids, wetnessLevel, high]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: wetnessLevel Context triple: [Kali River Rapids, wetnessLevel, high]
-
A.
receivesMoistureFrom
Indicates that one entity obtains or is supplied with moisture (such as water, humidity, or precipitation) from another entity.
-
B.
isWetProcessed
Indicates that an entity has undergone a wet (water-based) processing method rather than a dry or alternative processing method.
-
C.
waterResistanceRating
Indicates the level to which something can resist water penetration or damage under specified conditions.
-
D.
preferredHumidity
Indicates the level or range of humidity that is most suitable or favored by a given entity.
-
E.
acidityLevel
Indicates the degree or intensity of acidity associated with an entity, typically measured by pH or a comparable scale.
- 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_69ab4ac558388190962492cd2e1b0ce6 |
completed | March 6, 2026, 9:44 p.m. |
| NER | Named-entity recognition | batch_69abdaca581881908fe8d3d820f839b7 |
completed | March 7, 2026, 7:59 a.m. |
| PD | Predicate disambiguation | batch_69abd80f48888190afdf7e3e042157d0 |
completed | March 7, 2026, 7:47 a.m. |
| PDg | Predicate description generation | batch_69abdac82b688190886a6ec2d6e2abc7 |
completed | March 7, 2026, 7:59 a.m. |
Created at: March 6, 2026, 9:50 p.m.