Triple
T16471705
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Sasanian Iberia |
E400077
|
entity |
| Predicate | hasLegalSystemInfluenceFrom |
P24435
|
FINISHED |
| Object | Sasanian 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: Sasanian law | Statement: [Sasanian Iberia, hasLegalSystemInfluenceFrom, Sasanian law]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasLegalSystemInfluenceFrom Context triple: [Sasanian Iberia, hasLegalSystemInfluenceFrom, Sasanian law]
-
A.
legalDoctrineInfluenced
Indicates that one legal doctrine has shaped, informed, or contributed to the development or interpretation of another legal doctrine.
-
B.
countryOfLegalSystem
Indicates the relationship between a legal system and the country in which that legal system is officially established or applied.
-
C.
legalTraditionInfluenced
chosen
Indicates that one legal tradition has had a formative or shaping influence on the development, principles, or practices of another legal tradition.
-
D.
relatedLegalSystem
Indicates that there is an association or connection between two legal systems, such as influence, similarity, shared origin, or mutual relevance.
-
E.
hasExtendedLawSystem
Indicates that an entity possesses a comprehensive, detailed, and well-developed system of laws or legal regulations.
- 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_69d87f2dac988190b74d6e185fa88ba4 |
completed | April 10, 2026, 4:40 a.m. |
| NER | Named-entity recognition | batch_69e32dd19df881909e4562a5e8473338 |
completed | April 18, 2026, 7:08 a.m. |
| PD | Predicate disambiguation | batch_69e22706b0588190a48a951c5211a617 |
completed | April 17, 2026, 12:26 p.m. |
Created at: April 10, 2026, 5:11 a.m.