Triple
T9857248
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Lublin University of Technology |
E239617
|
entity |
| Predicate | hasRDFocus |
P90921
|
FINISHED |
| Object | engineering applications |
—
|
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: engineering applications | Statement: [Lublin University of Technology, hasRDFocus, engineering applications]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasRDFocus Context triple: [Lublin University of Technology, hasRDFocus, engineering applications]
-
A.
hasVisualFocus
Indicates that one entity is currently directing its visual attention or gaze toward another entity.
-
B.
hasAccessibilityFocus
Indicates that a user interface element is currently the primary target of accessibility tools, such as screen readers or keyboard navigation, receiving focused attention for interaction.
-
C.
hasPrimaryFocus
Indicates that something is the main subject, concern, or area of attention for an entity or activity.
-
D.
hasActingFocus
Indicates that an entity is the primary performer or focal agent carrying out an action in a given context.
-
E.
hasGlobalFocus
Indicates that something is oriented toward, concerned with, or applicable to worldwide or international scope rather than a local or regional one.
- 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_69ca84e6493081909cf58c8d42ea856b |
completed | March 30, 2026, 2:12 p.m. |
| NER | Named-entity recognition | batch_69cdb39864188190a2d8c0ee911f00c2 |
completed | April 2, 2026, 12:08 a.m. |
| PD | Predicate disambiguation | batch_69cd1d7621d48190aa6a6f34399514b0 |
completed | April 1, 2026, 1:28 p.m. |
| PDg | Predicate description generation | batch_69cd3581a9688190a00cef4c3eebb0ae |
completed | April 1, 2026, 3:10 p.m. |
Created at: March 30, 2026, 8:35 p.m.