Triple

T9625904
Position Surface form Disambiguated ID Type / Status
Subject Topeka Public Schools E232462 entity
Predicate countryLawSystem P605 FINISHED
Object U.S. public education system 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: U.S. public education system | Statement: [Topeka Public Schools, countryLawSystem, U.S. public education system]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: countryLawSystem
Context triple: [Topeka Public Schools, countryLawSystem, U.S. public education system]
  • A. countryOfLegalSystem
    Indicates the relationship between a legal system and the country in which that legal system is officially established or applied.
  • B. legalSystem chosen
    Indicates the formal framework of laws, rules, and institutions that governs how legal matters are defined, interpreted, and enforced within a society or jurisdiction.
  • C. legalSystemRegion
    Indicates the geographic or jurisdictional region within which a particular legal system is applicable or in force.
  • D. relatedLegalSystem
    Indicates that there is an association or connection between two legal systems, such as influence, similarity, shared origin, or mutual relevance.
  • E. countryJurisdiction
    Indicates that one country has legal authority, control, or governing power over a specified territory, entity, or matter.
  • 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_69ca848793ec8190a93a12383a754dc0 completed March 30, 2026, 2:11 p.m.
NER Named-entity recognition batch_69cd9afb67c88190aa170716f0033752 completed April 1, 2026, 10:23 p.m.
PD Predicate disambiguation batch_69ccd5acfa5c8190aaba3cf548723604 completed April 1, 2026, 8:22 a.m.
Created at: March 30, 2026, 8:10 p.m.