Triple
T12880416
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Marta Kubišová |
E308076
|
entity |
| Predicate | causeOfWorkBan |
P25587
|
FINISHED |
| Object | communist regime censorship in Czechoslovakia |
—
|
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: communist regime censorship in Czechoslovakia | Statement: [Marta Kubišová, causeOfWorkBan, communist regime censorship in Czechoslovakia]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: causeOfWorkBan Context triple: [Marta Kubišová, causeOfWorkBan, communist regime censorship in Czechoslovakia]
-
A.
reasonForBan
chosen
Indicates the justification or cause that led to an entity being banned.
-
B.
bannedBy
Indicates that an entity is prohibited or disallowed as a result of a decision or action taken by another entity.
-
C.
bannedAfter
Indicates that one entity becomes prohibited or forbidden only after the occurrence or establishment of another specified entity or event.
-
D.
causeStatus
Indicates that one entity brings about, initiates, or is responsible for a particular state or condition in another entity.
-
E.
suspensionReason
Indicates the reason or cause for which an entity has been suspended from a status, activity, or service.
- 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_69d7bdf69bc48190af6c2621f28ca351 |
completed | April 9, 2026, 2:55 p.m. |
| NER | Named-entity recognition | batch_69d97c7f91d08190aac2f6419d3ba992 |
completed | April 10, 2026, 10:41 p.m. |
| PD | Predicate disambiguation | batch_69d96fa55b888190ab1612e93c41aec4 |
completed | April 10, 2026, 9:46 p.m. |
Created at: April 9, 2026, 5:39 p.m.