Triple
T22659204
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | AVM1 |
E559315
|
entity |
| Predicate | executionTarget |
P91058
|
FINISHED |
| Object | client-side runtime |
—
|
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: client-side runtime | Statement: [AVM1, executionTarget, client-side runtime]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: executionTarget Context triple: [AVM1, executionTarget, client-side runtime]
-
A.
executionSide
chosen
Indicates which party or side in a transaction, contract, or interaction is responsible for performing or carrying out the specified action.
-
B.
executionDevice
Indicates that an entity serves as the instrument, tool, or device used to carry out or execute a particular action or process.
-
C.
programTarget
Indicates that a program or initiative is directed toward, intended for, or focused on a particular target entity.
-
D.
scriptTarget
Indicates that one entity serves as the target or recipient of a script or scripted action initiated by another entity.
-
E.
backendTarget
Indicates that one entity serves as the backend system, service, or endpoint that another entity connects to or depends on for processing or functionality.
- 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_69e245489dd88190b1f674acf61c8769 |
completed | April 17, 2026, 2:35 p.m. |
| NER | Named-entity recognition | batch_69f1765dc9088190b022ac564a8b5c26 |
completed | April 29, 2026, 3:09 a.m. |
| PD | Predicate disambiguation | batch_69ee6294c4c08190b7e4829f4b9af24b |
completed | April 26, 2026, 7:08 p.m. |
Created at: April 17, 2026, 3:07 p.m.