Triple
T4336774
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Wrocław University of Science and Technology |
E97480
|
entity |
| Predicate | hasStrongResearchOutputIn |
P366
|
FINISHED |
| Object | engineering sciences |
—
|
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 sciences | Statement: [Wrocław University of Science and Technology, hasStrongResearchOutputIn, engineering sciences]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasStrongResearchOutputIn Context triple: [Wrocław University of Science and Technology, hasStrongResearchOutputIn, engineering sciences]
-
A.
hasResearchOutput
Indicates that an entity produces, is associated with, or is responsible for a particular research output or scholarly work.
-
B.
hasNotableResearchOutput
Indicates that an entity is associated with significant, recognized, or influential research results or publications.
-
C.
hasResearcher
Indicates that an entity is associated with or linked to a specific researcher responsible for work, study, or investigation related to it.
-
D.
researchStrength
chosen
Indicates the degree to which an entity possesses strong capabilities, performance, or impact in conducting research.
-
E.
hasResearchActivities
Indicates that an entity engages in, conducts, or is associated with research-related activities.
- 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_69b3454662a481908fbcd0bbfaa3a0a4 |
completed | March 12, 2026, 10:59 p.m. |
| NER | Named-entity recognition | batch_69b3516af43081908393fd0dad3d9382 |
completed | March 12, 2026, 11:51 p.m. |
| PD | Predicate disambiguation | batch_69b34f4e13fc8190a42c519f37959d27 |
completed | March 12, 2026, 11:42 p.m. |
Created at: March 12, 2026, 11:14 p.m.