Triple

T4318613
Position Surface form Disambiguated ID Type / Status
Subject Erskine May: Parliamentary Practice E96454 entity
Predicate publisher P29 FINISHED
Object LexisNexis E75102 NE 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: LexisNexis | Statement: [Erskine May: Parliamentary Practice, publisher, LexisNexis]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: LexisNexis
Context triple: [Erskine May: Parliamentary Practice, publisher, LexisNexis]
  • A. LexisNexis chosen
    LexisNexis is a major legal research and information services provider offering extensive databases of case law, statutes, news, and business information to legal and professional users worldwide.
  • B. Westlaw
    Westlaw is a comprehensive online legal research service and database widely used by lawyers, judges, and scholars to access case law, statutes, regulations, and secondary legal materials.
  • C. Bloomberg Law
    Bloomberg Law is a comprehensive legal research and business intelligence platform that provides access to case law, statutes, regulations, dockets, news, and analytical tools for legal professionals.
  • D. Thomson Reuters
    Thomson Reuters is a multinational media and information services company best known for providing news, legal, financial, and business information to professionals worldwide.
  • E. Factiva
    Factiva is a global news and business information database that aggregates content from thousands of newspapers, journals, and other sources for research and analysis.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

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_69b345422aac81909ddbadae437d122e completed March 12, 2026, 10:59 p.m.
NER Named-entity recognition batch_69b350f883c88190a2d72f7d124eef43 completed March 12, 2026, 11:49 p.m.
NED1 Entity disambiguation (via context triple) batch_69b5d089ab5c8190ba1691f8ce9b7b4f completed March 14, 2026, 9:18 p.m.
Created at: March 12, 2026, 11:12 p.m.