Triple
T3825710
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Flying University |
E88683
|
entity |
| Predicate | reasonForIllegality |
P25587
|
FINISHED |
| Object | ban on higher education in Polish |
—
|
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: ban on higher education in Polish | Statement: [Flying University, reasonForIllegality, ban on higher education in Polish]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: reasonForIllegality Context triple: [Flying University, reasonForIllegality, ban on higher education in Polish]
-
A.
statedReason
Indicates that one entity expresses or provides another entity as the explanation, justification, or motive for an action, event, or claim.
-
B.
reasonForBan
chosen
Indicates the justification or cause that led to an entity being banned.
-
C.
legalConstraint
Indicates that one entity imposes or is subject to a rule, restriction, or requirement defined by a legal or regulatory framework in relation to another entity or action.
-
D.
reasonForConviction
Indicates the specific offense or legal basis for which an individual was found guilty or convicted.
-
E.
reasonForDisqualification
Indicates the specific cause or justification for which an entity was deemed ineligible or disqualified from consideration or participation.
- 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_69aed9538cf881909d9ce8ca4ac7c18c |
completed | March 9, 2026, 2:29 p.m. |
| NER | Named-entity recognition | batch_69aeeb8459f881908a2c91bb07e381ef |
completed | March 9, 2026, 3:47 p.m. |
| PD | Predicate disambiguation | batch_69aee74c2e04819094b94b3c0bac1806 |
completed | March 9, 2026, 3:29 p.m. |
Created at: March 9, 2026, 3:17 p.m.