Triple

T23533598
Position Surface form Disambiguated ID Type / Status
Subject Subordinate Courts Act E576633 entity
Predicate principalStatuteFor P143872 FINISHED
Object Subordinate Courts of Singapore NE NERFINISHED

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: Subordinate Courts of Singapore | Statement: [Subordinate Courts Act, principalStatuteFor, Subordinate Courts of Singapore]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: principalStatuteFor
Context triple: [Subordinate Courts Act, principalStatuteFor, Subordinate Courts of Singapore]
  • A. statuteName
    Indicates the specific legal statute or act by which something is formally designated, governed, or referenced.
  • B. statutePage
    Indicates a relationship where a specific page number is associated with a statute within a legal or legislative document.
  • C. hasMainStatute chosen
    Indicates that one legal document, case, or context is primarily governed, defined, or authorized by a specific statute.
  • D. statuteInvolved
    Indicates that a particular statute or legal provision is implicated, referenced, or applied in relation to a given case, event, or legal matter.
  • E. establishedByStatute
    Indicates that something has been formally created, defined, or authorized through a specific law or statute.
  • 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_69e245f5a8848190a2ba42e271c6c31f completed April 17, 2026, 2:38 p.m.
NER Named-entity recognition batch_69f1ae14ae3c8190aa2714ea07a4658a completed April 29, 2026, 7:07 a.m.
PD Predicate disambiguation batch_69f1189d75b48190a1c01928a993c9fb completed April 28, 2026, 8:29 p.m.
Created at: April 17, 2026, 6:10 p.m.