Triple
T10990459
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Budapest Convention |
E259740
|
entity |
| Predicate | isFirstInternationalTreatyOn |
P96480
|
FINISHED |
| Object | cybercrime |
—
|
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: cybercrime | Statement: [Budapest Convention, isFirstInternationalTreatyOn, cybercrime]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: isFirstInternationalTreatyOn Context triple: [Budapest Convention, isFirstInternationalTreatyOn, cybercrime]
-
A.
treatyOf
Indicates a formal agreement or pact established between entities, typically states or organizations, defining their mutual obligations or terms.
-
B.
historicalTreaty
Indicates that a formal agreement or pact was established between entities at some point in the past.
-
C.
treatyName
Indicates the formal name or title assigned to a specific treaty.
-
D.
hasMainTreaty
Indicates that one entity is the primary or principal treaty associated with another entity.
-
E.
treatySignedWith
Indicates that a formal treaty or agreement has been officially signed between two parties.
- F. None of above. chosen
Provenance (4 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_69d6aa8a6a548190a750f944ccdc8064 |
completed | April 8, 2026, 7:20 p.m. |
| NER | Named-entity recognition | batch_69d787b8d7088190b7d6b63c3bac4ad1 |
completed | April 9, 2026, 11:04 a.m. |
| PD | Predicate disambiguation | batch_69d72e9055908190b438f039574aaaaf |
completed | April 9, 2026, 4:44 a.m. |
| PDg | Predicate description generation | batch_69d732242fdc8190be77d1f730a42935 |
completed | April 9, 2026, 4:59 a.m. |
Created at: April 8, 2026, 9:24 p.m.