Triple
T30645094
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Criminal Appeal Act 1968 |
E780097
|
entity |
| Predicate | courtAffected |
P19459
|
FINISHED |
| Object | Court of Appeal (Criminal Division) |
—
|
NE NERFINISHED |
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: Court of Appeal (Criminal Division) | Statement: [Criminal Appeal Act 1968, courtAffected, Court of Appeal (Criminal Division)]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: courtAffected Context triple: [Criminal Appeal Act 1968, courtAffected, Court of Appeal (Criminal Division)]
-
A.
affectedCourt
chosen
Indicates that a particular court is impacted or influenced by a specified action, decision, or legal matter.
-
B.
courtIssue
Indicates that a court formally issues or hands down a legal document, order, ruling, or decision to the relevant parties.
-
C.
courtFeatured
Indicates that a particular court prominently presented, highlighted, or showcased a given entity (such as a case, event, or person) in an official or notable context.
-
D.
courtBasedIn
Indicates that a particular court is located or headquartered in a specified place or jurisdiction.
-
E.
courtContext
Indicates the legal or judicial setting, circumstances, or framework within which a court-related action or relationship takes place.
- 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_69f224a50ebc81909b961a94c7f66b12 |
completed | April 29, 2026, 3:32 p.m. |
| NER | Named-entity recognition | batch_69f697eabb048190bc01a830f14942c6 |
completed | May 3, 2026, 12:33 a.m. |
| PD | Predicate disambiguation | batch_69f69664142c8190bc695501056b0236 |
completed | May 3, 2026, 12:27 a.m. |
Created at: April 29, 2026, 8:29 p.m.