Triple

T2480655
Position Surface form Disambiguated ID Type / Status
Subject Reichskammergericht E55805 entity
Predicate appliedLegalTradition P17298 FINISHED
Object Roman 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: Roman law | Statement: [Reichskammergericht, appliedLegalTradition, Roman law]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: appliedLegalTradition
Context triple: [Reichskammergericht, appliedLegalTradition, Roman law]
  • A. hasLawTradition chosen
    Indicates that one legal system, jurisdiction, or entity follows or is based on a particular legal tradition or family of law.
  • B. coexistingLegalTradition
    Indicates that multiple legal traditions or systems exist and operate simultaneously within the same social or institutional context.
  • C. legalTraditionInfluenced
    Indicates that one legal tradition has had a formative or shaping influence on the development, principles, or practices of another legal tradition.
  • D. legalTraditionsTaught
    Indicates that one entity teaches, covers, or includes specific legal traditions in its instruction or curriculum.
  • E. legalDoctrine
    Indicates that one legal principle, rule, or theory is being applied, referenced, or relied upon as an authoritative basis for interpreting or deciding a legal issue.
  • 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_69ab49e670a88190b928e08302381710 completed March 6, 2026, 9:40 p.m.
NER Named-entity recognition batch_69abd1eb3be481908fa7c6b8f1c78209 completed March 7, 2026, 7:21 a.m.
PD Predicate disambiguation batch_69abd0b5e3d481909a5cbc4a96edd24f completed March 7, 2026, 7:16 a.m.
Created at: March 6, 2026, 9:45 p.m.