Triple

T6203881
Position Surface form Disambiguated ID Type / Status
Subject State Courts of Singapore E138700 entity
Predicate caseLoadShare P69642 FINISHED
Object handle about 90% of judicial caseload in Singapore 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: handle about 90% of judicial caseload in Singapore | Statement: [State Courts of Singapore, caseLoadShare, handle about 90% of judicial caseload in Singapore]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: caseLoadShare
Context triple: [State Courts of Singapore, caseLoadShare, handle about 90% of judicial caseload in Singapore]
  • A. sharesCaseWith
    Indicates that two entities are involved in, or associated with, the same legal case or proceeding.
  • B. sharesLaw
    Indicates that two or more entities are governed by, subject to, or operate under the same law or legal framework.
  • C. share
    Indicates that one entity gives, divides, or jointly uses a resource, item, or information with another entity.
  • D. sharesCustodyWith
    Indicates that two or more parties jointly hold legal responsibility and decision-making authority for the care and upbringing of the same dependent, typically a child.
  • E. sharesModuleWith
    Indicates that two entities are associated with or participate in at least one common module.
  • 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_69c008acbea48190991c6b834bb45d65 completed March 22, 2026, 3:20 p.m.
NER Named-entity recognition batch_69c0626c23f481909d2b5b0a75c2ffff completed March 22, 2026, 9:43 p.m.
PD Predicate disambiguation batch_69c055fbce1081908805fd12e242ab96 completed March 22, 2026, 8:50 p.m.
PDg Predicate description generation batch_69c056c87340819088003f427706ebf8 completed March 22, 2026, 8:53 p.m.
Created at: March 22, 2026, 4:20 p.m.