Triple
T27825896
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Nest Secure |
E702951
|
entity |
| Predicate | supportsProfessionalMonitoring |
P201676
|
FINISHED |
| Object | true |
—
|
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: true | Statement: [Nest Secure, supportsProfessionalMonitoring, true]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: supportsProfessionalMonitoring Context triple: [Nest Secure, supportsProfessionalMonitoring, true]
-
A.
supportsRealTimeMonitoring
Indicates that an entity provides the capability to observe and track relevant data or events continuously as they occur in real time.
-
B.
monitoredWithSupportFrom
Indicates that an entity is being monitored or observed with assistance, resources, or backing provided by another entity.
-
C.
isMonitored
Indicates that an entity is being actively observed, tracked, or supervised by another entity or system.
-
D.
supportsLongTermMonitoring
Indicates that an entity enables or is compatible with ongoing, long-duration observation, tracking, or data collection over time.
-
E.
canBeMonitoredWith
Indicates that one entity is suitable or able to be observed, tracked, or supervised using another specified entity or method.
- 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_69ef840ad1e88190b5bff2d1ddec8700 |
completed | April 27, 2026, 3:43 p.m. |
| NER | Named-entity recognition | batch_6a00144238708190acbec3f791cc873e |
completed | May 10, 2026, 5:14 a.m. |
| PD | Predicate disambiguation | batch_6a00120244a4819090ef39070aba9d99 |
completed | May 10, 2026, 5:05 a.m. |
| PDg | Predicate description generation | batch_6a001440a26c81908ba50779bb6e1679 |
completed | May 10, 2026, 5:14 a.m. |
Created at: April 27, 2026, 5:52 p.m.