Triple
T11838955
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Faculty of Law, CUHK |
E281594
|
entity |
| Predicate | regionOfLegalTradition |
P86918
|
FINISHED |
| Object | common law jurisdiction |
—
|
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: common law jurisdiction | Statement: [Faculty of Law, CUHK, regionOfLegalTradition, common law jurisdiction]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: regionOfLegalTradition Context triple: [Faculty of Law, CUHK, regionOfLegalTradition, common law jurisdiction]
-
A.
countryOfLegalSystem
Indicates the relationship between a legal system and the country in which that legal system is officially established or applied.
-
B.
coexistingLegalTradition
Indicates that multiple legal traditions or systems exist and operate simultaneously within the same social or institutional context.
-
C.
legalSystemRegion
chosen
Indicates the geographic or jurisdictional region within which a particular legal system is applicable or in force.
-
D.
hasLawTradition
Indicates that one legal system, jurisdiction, or entity follows or is based on a particular legal tradition or family of law.
-
E.
relatedLegalSystem
Indicates that there is an association or connection between two legal systems, such as influence, similarity, shared origin, or mutual relevance.
- 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_69d6ab276f8c8190b1966a0ef11349ac |
completed | April 8, 2026, 7:23 p.m. |
| NER | Named-entity recognition | batch_69d8a63106b48190917817ec40d21a49 |
completed | April 10, 2026, 7:26 a.m. |
| PD | Predicate disambiguation | batch_69d8a254a57481908a1e6ad97919c416 |
completed | April 10, 2026, 7:10 a.m. |
Created at: April 8, 2026, 9:43 p.m.