Triple

T21485333
Position Surface form Disambiguated ID Type / Status
Subject German federalism E530101 entity
Predicate constitutionalCourtRole P115711 FINISHED
Object arbitrates federal-Länder disputes 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: arbitrates federal-Länder disputes | Statement: [German federalism, constitutionalCourtRole, arbitrates federal-Länder disputes]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: constitutionalCourtRole
Context triple: [German federalism, constitutionalCourtRole, arbitrates federal-Länder disputes]
  • A. judicialRole
    Indicates that one entity holds or performs a specific official function or position within the judicial system in relation to another entity or legal matter.
  • B. courtRole
    Indicates the specific capacity or position an entity holds within a court proceeding or judicial context.
  • C. courtFunction chosen
    Indicates that one entity serves as a judicial body or performs an official judicial role or function in relation to another entity or context.
  • D. roleAtCourt
    Indicates the specific position, function, or status an entity holds within a court or courtly setting.
  • E. decisionCourt
    Indicates that a particular court rendered the decision or judgment in a given legal case or proceeding.
  • 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_69e0c45acc3881908e38d3f28964152b completed April 16, 2026, 11:13 a.m.
NER Named-entity recognition batch_69e9ea365a8481909635f614b23e751f completed April 23, 2026, 9:45 a.m.
PD Predicate disambiguation batch_69e631ec1d048190b6da97da8222e413 completed April 20, 2026, 2:02 p.m.
Created at: April 16, 2026, 6:21 p.m.