Triple
T3428566
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Aquaracer |
E72282
|
entity |
| Predicate | intendedUseEnvironment |
P13408
|
FINISHED |
| Object | underwater activities |
—
|
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: underwater activities | Statement: [Aquaracer, intendedUseEnvironment, underwater activities]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: intendedUseEnvironment Context triple: [Aquaracer, intendedUseEnvironment, underwater activities]
-
A.
usedInEnvironment
chosen
Indicates that something is utilized or operates within a particular environment or context.
-
B.
environmentType
Indicates the kind or category of environment associated with an entity or situation.
-
C.
partOfUse
Indicates that something functions as a component or constituent within the use or application of something else.
-
D.
designedToWithstand
Indicates that something has been intentionally created or engineered to resist, endure, or remain functional under specified conditions, forces, or stresses.
-
E.
environmentalMode
Indicates that an entity operates in or is configured to a specific environmental setting or condition (such as eco, normal, or high-performance mode).
- 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_69ad85ae14308190bcbc25cfa0246c0b |
completed | March 8, 2026, 2:20 p.m. |
| NER | Named-entity recognition | batch_69adb983f4608190abcc27aa7b926deb |
completed | March 8, 2026, 6:01 p.m. |
| PD | Predicate disambiguation | batch_69adadfea024819094b41a13bc004bda |
completed | March 8, 2026, 5:12 p.m. |
Created at: March 8, 2026, 3:15 p.m.