Triple

T35902789
Position Surface form Disambiguated ID Type / Status
Subject Courts of Justice of Thailand E1038395 entity
Predicate typeOfCasesExcluded P34541 FINISHED
Object most administrative law cases 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: most administrative law cases | Statement: [Courts of Justice of Thailand, typeOfCasesExcluded, most administrative law cases]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: typeOfCasesExcluded
Context triple: [Courts of Justice of Thailand, typeOfCasesExcluded, most administrative law cases]
  • A. excludedFrom chosen
    Indicates that one entity is deliberately not included within the scope, membership, or applicability of another entity or set.
  • B. excludedCrimes
    Indicates that certain crimes are specifically omitted or not covered within a given legal, contractual, or policy context.
  • C. excludedPractice
    Indicates that a particular practice, behavior, or activity is explicitly not allowed, permitted, or covered within a given context or agreement.
  • D. excludesFromEvidence
    Indicates that something is intentionally omitted or disallowed from being considered as evidence in a given context.
  • E. exemptedFrom
    Indicates that an entity is not subject to, or is formally released from, a rule, obligation, requirement, or liability that would otherwise apply.
  • 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_69f76e2190f88190beb2eed798a4ef01 completed May 3, 2026, 3:47 p.m.
NER Named-entity recognition batch_6a01e4ba62748190a4756689219b6269 completed May 11, 2026, 2:16 p.m.
PD Predicate disambiguation batch_6a01e3fc2d908190a075c7c1549e5640 completed May 11, 2026, 2:13 p.m.
Created at: May 3, 2026, 4:07 p.m.