Triple
T31493089
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Hilary term |
E803458
|
entity |
| Predicate | legalTermOf |
P59307
|
FINISHED |
| Object | High Court of Justice of England and Wales |
—
|
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: High Court of Justice of England and Wales | Statement: [Hilary term, legalTermOf, High Court of Justice of England and Wales]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: legalTermOf Context triple: [Hilary term, legalTermOf, High Court of Justice of England and Wales]
-
A.
legalTermIn
chosen
Indicates that a particular legal term or concept is used, defined, or applicable within a specified legal document, jurisdiction, or context.
-
B.
legalTermUsedFrom
Indicates that a particular legal term has been in official or recognized use starting from a specified point in time.
-
C.
USLegalTerm
Indicates that the subject is a legal concept, status, or designation specifically defined or recognized under United States law.
-
D.
legalContent
Indicates that the associated material complies with applicable laws and regulations and is permitted for use, distribution, or display.
-
E.
legalDetail
Indicates that there is specific legal information, conditions, or attributes associated with the related entity or relationship.
- 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_69f348ca04508190ba9379b5329dfd75 |
completed | April 30, 2026, 12:19 p.m. |
| NER | Named-entity recognition | batch_69fe96c2647c819082989f11e1ae3d35 |
completed | May 9, 2026, 2:06 a.m. |
| PD | Predicate disambiguation | batch_69fe928615448190af939e5a94be55bb |
completed | May 9, 2026, 1:48 a.m. |
Created at: April 30, 2026, 9:39 p.m.