Triple

T204460
Position Surface form Disambiguated ID Type / Status
Subject Clause 40 E4580 entity
Predicate legalConcept P10240 FINISHED
Object access to justice 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: access to justice | Statement: [Clause 40, legalConcept, access to justice]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: legalConcept
Context triple: [Clause 40, legalConcept, access to justice]
  • A. legalDoctrine
    Indicates that one legal principle, rule, or theory is being applied, referenced, or relied upon as an authoritative basis for interpreting or deciding a legal issue.
  • B. legalContext
    Indicates that the relationship or action occurs within, is shaped by, or is relevant to a specific legal framework, proceeding, or set of legal norms.
  • C. legalSubject
    Indicates that an entity is the bearer of legal rights, duties, or responsibilities within a legal relationship or context.
  • D. legalSystem
    Indicates the formal framework of laws, rules, and institutions that governs how legal matters are defined, interpreted, and enforced within a society or jurisdiction.
  • E. legalCase
    Indicates a relationship where a formal legal dispute or proceeding exists between parties, typically adjudicated by a court or similar authority.
  • 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_69a25737567c81908f9c505300239181 completed Feb. 28, 2026, 2:47 a.m.
NER Named-entity recognition batch_69a25f46b4f081909e5ee3718109a71f completed Feb. 28, 2026, 3:21 a.m.
PD Predicate disambiguation batch_69a25b4b42ec8190bef16bbbdd30a742 completed Feb. 28, 2026, 3:04 a.m.
PDg Predicate description generation batch_69a25f4602c081909e89de233cbc5670 completed Feb. 28, 2026, 3:21 a.m.
Created at: Feb. 28, 2026, 2:51 a.m.