Triple
T8290148
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Feedback Hub |
E193872
|
entity |
| Predicate | communicationDirection |
P82565
|
FINISHED |
| Object | user-to-Microsoft feedback |
—
|
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: user-to-Microsoft feedback | Statement: [Feedback Hub, communicationDirection, user-to-Microsoft feedback]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: communicationDirection Context triple: [Feedback Hub, communicationDirection, user-to-Microsoft feedback]
-
A.
communicationMode
Indicates the method or channel through which communication between entities is carried out.
-
B.
communicationChannel
Indicates a medium or method through which information is transmitted between parties.
-
C.
communicationModel
Indicates the type or framework of communication used or assumed in the relationship between entities.
-
D.
twoWayCommunication
Indicates a reciprocal exchange of information between two entities, where each can both send and receive messages from the other.
-
E.
communicationPrinciple
Indicates a guiding rule or norm that shapes how communication should be conducted between entities.
- 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_69ca82e32db481908b72f3804fa71152 |
completed | March 30, 2026, 2:04 p.m. |
| NER | Named-entity recognition | batch_69cb7c99fdd48190a3f304237be609a0 |
completed | March 31, 2026, 7:49 a.m. |
| PD | Predicate disambiguation | batch_69cb70b5b5348190b296e0ecec95de60 |
completed | March 31, 2026, 6:59 a.m. |
| PDg | Predicate description generation | batch_69cb76d648988190ab0669cc0592e827 |
completed | March 31, 2026, 7:25 a.m. |
Created at: March 30, 2026, 5:52 p.m.