Triple

T1685747
Position Surface form Disambiguated ID Type / Status
Subject Statesman E36436 entity
Predicate relatedWork P37 FINISHED
Object Laws E36435 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: Laws | Statement: [Statesman, relatedWork, Laws]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Laws
Context triple: [Statesman, relatedWork, Laws]
  • A. Laws chosen
    Laws is one of Plato’s late philosophical dialogues, presenting a detailed exploration of legal theory, political organization, and the ideal constitution for a well-ordered city.
  • B. Ley
    Ley is an alternative spelling of the given name Leigh, used as a personal name or surname in English-speaking contexts.
  • C. Law
    Law is the system of rules and principles recognized by a community or government as regulating the actions of its members and enforceable by legal institutions.
  • D. Law and Justice
    Law and Justice is a right-wing populist and national-conservative political party in Poland that has been one of the country’s dominant governing forces in the 21st century.
  • E. Recht
    Recht is a village and district within the municipality of Sankt Vith in the German-speaking region of eastern Belgium.
  • 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_69a886151508819084fa7f1ce6e05577 completed March 4, 2026, 7:20 p.m.
NER Named-entity recognition batch_69aa627da0688190bfb5316079bc589a completed March 6, 2026, 5:13 a.m.
NED1 Entity disambiguation (via context triple) batch_69ad71c1b4308190b04fed7ce752b67c completed March 8, 2026, 12:55 p.m.
Created at: March 4, 2026, 7:29 p.m.