Triple
T25027841
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Israeli law |
E626756
|
entity |
| Predicate | hasCivilProcedureBasedOn |
P55585
|
FINISHED |
| Object | adversarial system |
—
|
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: adversarial system | Statement: [Israeli law, hasCivilProcedureBasedOn, adversarial system]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasCivilProcedureBasedOn Context triple: [Israeli law, hasCivilProcedureBasedOn, adversarial system]
-
A.
haveCivilLaw
Indicates that an entity is subject to, governed by, or operates under a civil law legal system.
-
B.
legalProcedureUsed
Indicates that a particular legal procedure or process is applied or employed in relation to a case, action, or legal matter.
-
C.
hasCriminalProcedureBasedOn
Indicates that one legal system’s criminal procedure is derived from, modeled on, or fundamentally influenced by another specified source or framework.
-
D.
hasLegalProceeding
Indicates that there is a formal legal action, case, or proceeding involving the related entities.
-
E.
civilLawBasedOn
chosen
Indicates that a civil law, legal system, or legal provision is derived from, grounded in, or significantly influenced by another specified source of law or legal framework.
- 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_69e2ff28ee3881909c626af002457a4a |
completed | April 18, 2026, 3:48 a.m. |
| NER | Named-entity recognition | batch_69f48b9b687881908fd87a2f5fa0b1e7 |
completed | May 1, 2026, 11:16 a.m. |
| PD | Predicate disambiguation | batch_69f48060597c8190a4414e4e4fcb1fec |
completed | May 1, 2026, 10:28 a.m. |
Created at: April 18, 2026, 6:07 a.m.