Triple

T9540399
Position Surface form Disambiguated ID Type / Status
Subject Deep River Township E230140 entity
Predicate followsCountryLaw P7728 FINISHED
Object law of the United States 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: law of the United States | Statement: [Deep River Township, followsCountryLaw, law of the United States]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: followsCountryLaw
Context triple: [Deep River Township, followsCountryLaw, law of the United States]
  • A. followsPolityOf
    Indicates that one entity adopts, adheres to, or operates under the political system, governance model, or policy framework established by another entity.
  • B. containsLawOn
    Indicates that one entity (such as a document, code, or regulation) includes or sets forth legal provisions concerning another entity or subject.
  • C. relatedLegalSystem
    Indicates that there is an association or connection between two legal systems, such as influence, similarity, shared origin, or mutual relevance.
  • D. countryJurisdiction
    Indicates that one country has legal authority, control, or governing power over a specified territory, entity, or matter.
  • E. countryOfJurisdiction chosen
    Indicates the country whose legal authority or jurisdiction governs or applies to a given entity, action, or arrangement.
  • 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_69ca847b1b3081908f72bc932c17cc41 completed March 30, 2026, 2:11 p.m.
NER Named-entity recognition batch_69cd98e695948190ab107fff38c57de7 completed April 1, 2026, 10:15 p.m.
PD Predicate disambiguation batch_69ccd58bd21881908b860e3ee469af13 completed April 1, 2026, 8:21 a.m.
Created at: March 30, 2026, 8:01 p.m.