Triple

T9059924
Position Surface form Disambiguated ID Type / Status
Subject Attala County E217094 entity
Predicate followsStateLaw P4454 FINISHED
Object Mississippi law 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: Mississippi law | Statement: [Attala County, followsStateLaw, Mississippi law]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: followsStateLaw
Context triple: [Attala County, followsStateLaw, Mississippi law]
  • A. stateLawAtIssue
    Indicates that a particular state law is the subject of dispute, analysis, or determination in a given legal context or case.
  • 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. obeysLaw chosen
    Indicates that an entity follows, complies with, or acts in accordance with a specified law or set of laws.
  • D. hasStatuteLaw
    Indicates that a jurisdiction or entity is governed by, or possesses, a body of formal written laws enacted by a legislative authority.
  • E. enforcedLaw
    Indicates that an authority actively applies or upholds a specific law to regulate behavior or resolve situations.
  • 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_69ca83d4425481909a319dab847724ec completed March 30, 2026, 2:08 p.m.
NER Named-entity recognition batch_69cc7eca6d8c8190b1a11a60d6649f78 completed April 1, 2026, 2:11 a.m.
PD Predicate disambiguation batch_69cc5ee6d83c819095d8ed0779aa8511 completed March 31, 2026, 11:55 p.m.
Created at: March 30, 2026, 7:10 p.m.