Triple
T7088090
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Ring Stick Up Cam |
E165125
|
entity |
| Predicate | weatherResistance |
P20750
|
FINISHED |
| Object | weather-resistant housing (for outdoor use) |
—
|
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: weather-resistant housing (for outdoor use) | Statement: [Ring Stick Up Cam, weatherResistance, weather-resistant housing (for outdoor use)]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: weatherResistance Context triple: [Ring Stick Up Cam, weatherResistance, weather-resistant housing (for outdoor use)]
-
A.
waterResistanceRating
Indicates the level to which something can resist water penetration or damage under specified conditions.
-
B.
designedToWithstand
chosen
Indicates that something has been intentionally created or engineered to resist, endure, or remain functional under specified conditions, forces, or stresses.
-
C.
waterTolerance
Indicates the degree to which an entity can withstand or function effectively in the presence of water.
-
D.
wearableBy
Indicates that one entity is designed or suitable to be worn on the body by another entity.
-
E.
wearerType
Indicates the type or category of entity that is intended to wear or use the associated item.
- 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_69c6887d98408190912b9580666b0c1d |
completed | March 27, 2026, 1:39 p.m. |
| NER | Named-entity recognition | batch_69c6e52d26f08190917e5e13b181bdae |
completed | March 27, 2026, 8:14 p.m. |
| PD | Predicate disambiguation | batch_69c6e1c172148190bf290c07bf579d1f |
completed | March 27, 2026, 8 p.m. |
Created at: March 27, 2026, 2:41 p.m.