Triple
T12265764
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | High Court of Hong Kong |
E292340
|
entity |
| Predicate | hearsCasesWith |
P104128
|
FINISHED |
| Object | jury in certain criminal trials |
—
|
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: jury in certain criminal trials | Statement: [High Court of Hong Kong, hearsCasesWith, jury in certain criminal trials]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hearsCasesWith Context triple: [High Court of Hong Kong, hearsCasesWith, jury in certain criminal trials]
-
A.
hearsCasesAs
Indicates that one judicial body or judge reviews and adjudicates cases originating from another court or jurisdiction.
-
B.
hearsCasesUnder
Indicates that a judicial body or authority has the responsibility and power to adjudicate legal cases falling within a specified jurisdiction, category, or scope.
-
C.
hearsCasesAgainst
Indicates that one party (typically a judicial body or official) formally listens to and considers legal cases brought against another party.
-
D.
hearsCasesBetween
Indicates that a judicial body or authority formally considers and adjudicates legal disputes involving two or more parties.
-
E.
hearsCriminalCases
Indicates that a legal authority or court is responsible for listening to and adjudicating criminal cases.
- 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_69d6ab6856488190b5d31178d5015f8e |
completed | April 8, 2026, 7:24 p.m. |
| NER | Named-entity recognition | batch_69d9380a5e78819086bd4dfe9a83d1f5 |
completed | April 10, 2026, 5:48 p.m. |
| PD | Predicate disambiguation | batch_69d91c4a66cc819083ce6fcaf5042af6 |
completed | April 10, 2026, 3:50 p.m. |
| PDg | Predicate description generation | batch_69d93805cee08190a532ebcf5908e617 |
completed | April 10, 2026, 5:48 p.m. |
Created at: April 8, 2026, 9:52 p.m.