Triple
T39087
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | European polytechnic institutes |
E774
|
entity |
| Predicate | emphasize |
P1258
|
FINISHED |
| Object | applied sciences education |
—
|
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: applied sciences education | Statement: [European polytechnic institutes, emphasize, applied sciences education]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: emphasize Context triple: [European polytechnic institutes, emphasize, applied sciences education]
-
A.
encourages
Indicates actively motivating, supporting, or giving confidence to another entity to pursue an action, behavior, or state.
-
B.
promotes
chosen
Indicates that one entity actively supports, advances, or encourages the growth, adoption, or success of another entity or outcome.
-
C.
prominence
Indicates that an entity stands out in importance, visibility, or influence relative to others within a given context.
-
D.
significance
Indicates that one entity holds particular importance, influence, or meaningful impact in relation to another entity or context.
-
E.
magnitude
Indicates a relationship where a quantitative size, extent, or intensity is assigned to or compared between entities or values.
- 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_69a247a8f6c08190bac804906d62ed5a |
completed | Feb. 28, 2026, 1:40 a.m. |
| NER | Named-entity recognition | batch_69a24b4d5bd08190a3a48eb26e67768c |
completed | Feb. 28, 2026, 1:56 a.m. |
| PD | Predicate disambiguation | batch_69a24ab6141881908701106aa97e4735 |
completed | Feb. 28, 2026, 1:53 a.m. |
Created at: Feb. 28, 2026, 1:46 a.m.