Triple

T152594
Position Surface form Disambiguated ID Type / Status
Subject Inner Temple E3462 entity
Predicate legalProfessionRole P5610 FINISHED
Object calling students to the Bar 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: calling students to the Bar | Statement: [Inner Temple, legalProfessionRole, calling students to the Bar]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: legalProfessionRole
Context triple: [Inner Temple, legalProfessionRole, calling students to the Bar]
  • A. practicedLawIn
    Indicates that a person engaged in the professional practice of law within a specified jurisdiction or location.
  • B. legalSubject
    Indicates that an entity is the bearer of legal rights, duties, or responsibilities within a legal relationship or context.
  • C. 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.
  • D. 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.
  • 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_69a252868de4819080e21c9938bfe8b6 completed Feb. 28, 2026, 2:27 a.m.
NER Named-entity recognition batch_69a25810799c8190a515a39169126e46 completed Feb. 28, 2026, 2:50 a.m.
PD Predicate disambiguation batch_69a2565adaf48190b68ae4444ff83ccd completed Feb. 28, 2026, 2:43 a.m.
PDg Predicate description generation batch_69a256eb46ec81909c730000e5041d0d completed Feb. 28, 2026, 2:46 a.m.
Created at: Feb. 28, 2026, 2:31 a.m.