Triple
T1495898
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Turkish Republic of Northern Cyprus |
E29684
|
entity |
| Predicate | usesLegalSystemBasedOn |
P14384
|
FINISHED |
| Object | Turkish law |
—
|
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: Turkish law | Statement: [Turkish Republic of Northern Cyprus, usesLegalSystemBasedOn, Turkish law]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: usesLegalSystemBasedOn Context triple: [Turkish Republic of Northern Cyprus, usesLegalSystemBasedOn, Turkish law]
-
A.
relatedLegalSystem
Indicates that there is an association or connection between two legal systems, such as influence, similarity, shared origin, or mutual relevance.
-
B.
legalSystem
Indicates the formal framework of laws, rules, and institutions that governs how legal matters are defined, interpreted, and enforced within a society or jurisdiction.
-
C.
separateLegalSystem
Indicates that one entity maintains its own distinct and independent legal system from another entity.
-
D.
legalOrigin
chosen
Indicates the foundational legal system or jurisdiction from which an entity’s laws, regulations, or legal framework are derived.
-
E.
legalSystemWorkedOn
Indicates that a legal system has been applied to, influenced, or modified by some agent or process.
- 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_69a498dba1d8819093b46a3a8d2485f1 |
completed | March 1, 2026, 7:51 p.m. |
| NER | Named-entity recognition | batch_69a4c6ec70c48190a94f6e1002848eae |
completed | March 1, 2026, 11:08 p.m. |
| PD | Predicate disambiguation | batch_69a4c48a8cf48190a6ebf8d44a608a06 |
completed | March 1, 2026, 10:58 p.m. |
Created at: March 1, 2026, 8:12 p.m.