Triple
T7660494
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Matir Moina |
E173490
|
entity |
| Predicate | countryCensorship |
P43036
|
FINISHED |
| Object | banned in Bangladesh upon initial release |
—
|
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: banned in Bangladesh upon initial release | Statement: [Matir Moina, countryCensorship, banned in Bangladesh upon initial release]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: countryCensorship Context triple: [Matir Moina, countryCensorship, banned in Bangladesh upon initial release]
-
A.
censorshipLevel
Indicates the degree or strictness of control, suppression, or restriction applied to information, media, or expression.
-
B.
censorshipReason
Indicates the justification or cause given for why certain content is suppressed, restricted, or removed.
-
C.
suppressedInCountry
Indicates that an entity (such as content, activity, or information) is restricted, censored, or otherwise prevented from being available or expressed within a specified country.
-
D.
bannedInCountry
chosen
Indicates that something is officially prohibited or not allowed within the jurisdiction of a specified country.
-
E.
countryFreed
Indicates that one country has liberated, emancipated, or otherwise brought about the freedom of another country from control, occupation, or oppression.
- 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_69c69955517c819085bc715b96d304d2 |
completed | March 27, 2026, 2:51 p.m. |
| NER | Named-entity recognition | batch_69c7061cbc3c8190a917dd7e71214182 |
completed | March 27, 2026, 10:35 p.m. |
| PD | Predicate disambiguation | batch_69c7015dd8fc8190bc5f52a12bd46209 |
completed | March 27, 2026, 10:14 p.m. |
Created at: March 27, 2026, 3:59 p.m.