Triple
T300468
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | TRST |
E6185
|
entity |
| Predicate | resetType |
P11249
|
FINISHED |
| Object | asynchronous reset |
—
|
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: asynchronous reset | Statement: [TRST, resetType, asynchronous reset]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: resetType Context triple: [TRST, resetType, asynchronous reset]
-
A.
forceType
Indicates the specific kind or category of force involved in an interaction or event (e.g., physical, legal, military, or other defined force classifications).
-
B.
rotationType
Indicates the specific kind or mode of rotational movement or orientation applied in a given context.
-
C.
typeOfReorganization
Indicates the specific kind or category of organizational restructuring that is being or has been carried out.
-
D.
refit
Indicates that an existing object or structure is being modified, repaired, or equipped with new parts or features to restore or improve its function.
-
E.
sessionType
Indicates the classification or category of a particular session based on its purpose, format, or context.
- 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_69a2e79114b081909490b3bf5a5dbb51 |
completed | Feb. 28, 2026, 1:03 p.m. |
| NER | Named-entity recognition | batch_69a2ea2fba548190a5aeb1597dca96bd |
completed | Feb. 28, 2026, 1:14 p.m. |
| PD | Predicate disambiguation | batch_69a2e93aff048190a633c8ae2b76a41f |
completed | Feb. 28, 2026, 1:10 p.m. |
| PDg | Predicate description generation | batch_69a2ea2af1388190b93235602ace679e |
completed | Feb. 28, 2026, 1:14 p.m. |
Created at: Feb. 28, 2026, 1:06 p.m.