Triple

T529796
Position Surface form Disambiguated ID Type / Status
Subject Supreme Court of Peru E10999 entity
Predicate levelInJudiciary P6712 FINISHED
Object highest level 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: highest level | Statement: [Supreme Court of Peru, levelInJudiciary, highest level]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: levelInJudiciary
Context triple: [Supreme Court of Peru, levelInJudiciary, highest level]
  • A. jurisdictionLevel chosen
    Indicates the scope or tier of authority under which an entity or action is legally governed or regulated.
  • B. 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.
  • C. judicialBody
    Indicates that an entity serves as a court or tribunal with authority to adjudicate legal disputes or interpret and apply the law.
  • D. hasJudiciary
    Indicates that an entity possesses, is served by, or is under the authority of a judicial body or legal court system.
  • E. judicialCircuit
    Indicates the judicial circuit within which a legal entity, case, or jurisdiction is organized or falls under authority.
  • 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_69a2e84b16c4819088d284c47c3a7968 completed Feb. 28, 2026, 1:06 p.m.
NER Named-entity recognition batch_69a2f1d4984c8190ac372171b16bb5e4 completed Feb. 28, 2026, 1:47 p.m.
PD Predicate disambiguation batch_69a2f01ac3ec8190a94a05955532c7fa completed Feb. 28, 2026, 1:39 p.m.
Created at: Feb. 28, 2026, 1:12 p.m.