Triple
T32491004
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Denys Vlasenko |
E830383
|
entity |
| Predicate | softwareTarget |
P79628
|
FINISHED |
| Object | routers |
—
|
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: routers | Statement: [Denys Vlasenko, softwareTarget, routers]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: softwareTarget Context triple: [Denys Vlasenko, softwareTarget, routers]
-
A.
targetedSoftware
chosen
Indicates that a particular piece of software is the specific focus or target of an action, operation, or effect.
-
B.
softwareFormat
Indicates that one entity specifies or uses the file or data format in which a software-related item is encoded, stored, or delivered.
-
C.
hasSoftwareCompatibilityWith
Indicates that one software system can operate correctly and effectively with another software system, without conflicts or required modifications.
-
D.
implementationTarget
Indicates that one entity serves as the concrete implementation or realization of another entity’s specification, interface, or design.
-
E.
developedOn
Indicates that something was created, built, or produced using a particular platform, technology, or environment.
- 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_69f34920aa4081908d8fb0277414b911 |
completed | April 30, 2026, 12:20 p.m. |
| NER | Named-entity recognition | batch_69f6c4070c808190b633acf2a95b4e56 |
completed | May 3, 2026, 3:41 a.m. |
| PD | Predicate disambiguation | batch_69f6bd25bed08190befcabd3a41ffadf |
completed | May 3, 2026, 3:12 a.m. |
Created at: May 1, 2026, 12:59 a.m.