Triple

T32711421
Position Surface form Disambiguated ID Type / Status
Subject Judicial Service Commission (Kenya) E836411 entity
Predicate compositionIncludes P1393 FINISHED
Object two members, one man and one woman, to represent the public appointed by the President with National Assembly approval LITERAL FINISHED

How this triple was built (1 step)

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: two members, one man and one woman, to represent the public appointed by the President with National Assembly approval | Statement: [Judicial Service Commission (Kenya), compositionIncludes, two members, one man and one woman, to represent the public appointed by the President with National Assembly approval]

Provenance (2 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_69f3493446148190819541f3ffe79975 completed April 30, 2026, 12:21 p.m.
NER Named-entity recognition batch_69f6c87fbd90819096f7775d20f8ab8f completed May 3, 2026, 4:01 a.m.
Created at: May 1, 2026, 1:10 a.m.