Triple

T2605814
Position Surface form Disambiguated ID Type / Status
Subject Department of Social Security E58654 entity
Predicate typeOfJurisdictionalBody P9175 FINISHED
Object ministerial department 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: ministerial department | Statement: [Department of Social Security, typeOfJurisdictionalBody, ministerial department]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: typeOfJurisdictionalBody
Context triple: [Department of Social Security, typeOfJurisdictionalBody, ministerial department]
  • A. typeOfJurisdiction
    Indicates the specific kind or category of legal authority or control that one jurisdiction holds in relation to a given legal or administrative context.
  • B. judicialBody
    Indicates that an entity serves as a court or tribunal with authority to adjudicate legal disputes or interpret and apply the law.
  • C. typeOfJurisdictionDocument
    Indicates the specific kind or category of jurisdiction-related document associated with an entity or legal context.
  • D. governingBodyOfType
    Indicates that an entity serves as the official governing body for another entity of a specified type or category.
  • E. governmentBodyType chosen
    Indicates the classification or category of a governmental organization based on its structural or functional role.
  • 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_69ab4ac3523881909679750c9f8c2dec completed March 6, 2026, 9:44 p.m.
NER Named-entity recognition batch_69abd8def9bc8190b2e013abffc7b191 completed March 7, 2026, 7:50 a.m.
PD Predicate disambiguation batch_69abd80ab7248190ba06ba14fe4c5638 completed March 7, 2026, 7:47 a.m.
Created at: March 6, 2026, 9:49 p.m.