Triple

T6161408
Position Surface form Disambiguated ID Type / Status
Subject High Courts of South Korea E137450 entity
Predicate maySitAs P69127 FINISHED
Object collegiate panels of judges 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: collegiate panels of judges | Statement: [High Courts of South Korea, maySitAs, collegiate panels of judges]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: maySitAs
Context triple: [High Courts of South Korea, maySitAs, collegiate panels of judges]
  • A. maySit
    Indicates that one entity is permitted or allowed to sit on or in another entity.
  • B. maySitWith
    Indicates that one entity is permitted or allowed to sit together with another entity.
  • C. maySitByRight
    Indicates that an entity has the right or permission to sit next to another entity.
  • D. maySitEnBanc
    Indicates that a judicial body has the authority or option to convene and hear a case with all (or a large majority of) its judges sitting together as a full court.
  • E. mayServe
    Indicates that one entity is permitted or authorized to provide a service or function to another entity.
  • F. None of above. chosen

Provenance (4 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_69c008a54fc88190b6ce4416490ca79d completed March 22, 2026, 3:20 p.m.
NER Named-entity recognition batch_69c05d371484819090c18b62b095b49e completed March 22, 2026, 9:20 p.m.
PD Predicate disambiguation batch_69c055f5b81481908819515cdc334ae6 completed March 22, 2026, 8:49 p.m.
PDg Predicate description generation batch_69c056df95ac8190bc5efe050d3af864 completed March 22, 2026, 8:53 p.m.
Created at: March 22, 2026, 4:17 p.m.