Triple
T8757772
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Moisture Blast |
E208114
|
entity |
| Predicate | usageEnvironment |
P853
|
FINISHED |
| Object | shower |
—
|
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: shower | Statement: [Moisture Blast, usageEnvironment, shower]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: usageEnvironment Context triple: [Moisture Blast, usageEnvironment, shower]
-
A.
nearbyEnvironment
Indicates that an entity is located in or affected by the immediate surrounding conditions or context of another entity.
-
B.
usageType
Indicates the specific manner, purpose, or context in which something is used or intended to be used.
-
C.
environmentType
chosen
Indicates the kind or category of environment associated with an entity or situation.
-
D.
indoorLocationAdvantage
Indicates that one entity has a positional or strategic advantage over another due to being located indoors.
-
E.
usageAmong
Indicates how frequently or in what manner something is used within a particular group, context, or population.
- 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_69ca835cd6b08190bd7c63db92f53c86 |
completed | March 30, 2026, 2:06 p.m. |
| NER | Named-entity recognition | batch_69cc5ddc2d9c81908948aee2b956cce4 |
completed | March 31, 2026, 11:50 p.m. |
| PD | Predicate disambiguation | batch_69cc5c1884bc8190a46e8308db31f7ab |
completed | March 31, 2026, 11:43 p.m. |
Created at: March 30, 2026, 6:40 p.m.