Triple
T24777434
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Water Genie |
E619899
|
entity |
| Predicate | commonAbility |
P84759
|
FINISHED |
| Object | transforming into 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: transforming into water | Statement: [Water Genie, commonAbility, transforming into water]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: commonAbility Context triple: [Water Genie, commonAbility, transforming into water]
-
A.
commonApplication
Indicates that multiple entities share or participate in the same application, process, or usage context.
-
B.
featuresAbility
chosen
Indicates that one entity possesses, includes, or provides a particular ability or capability associated with another entity.
-
C.
exampleApplication
Indicates that something serves as a representative or illustrative instance of how an application is used or functions.
-
D.
componentApplication
Indicates that one entity is an application or use-case instance that is built from, configured by, or otherwise realized through another entity serving as its component.
-
E.
symbolicAbility
Indicates the capacity of an entity to understand, manipulate, or use symbols to represent concepts, objects, or relationships.
- 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_69e2fabd04488190a2d13c97be745a2d |
completed | April 18, 2026, 3:30 a.m. |
| NER | Named-entity recognition | batch_69f42d9000b8819081ea2605f3c193d6 |
completed | May 1, 2026, 4:35 a.m. |
| PD | Predicate disambiguation | batch_69f420f471a0819095a6cd24ed8f7476 |
completed | May 1, 2026, 3:41 a.m. |
Created at: April 18, 2026, 4:38 a.m.