Triple

T31351
Position Surface form Disambiguated ID Type / Status
Subject United States Statutes at Large E625 entity
Predicate legalCitationFormat P130 FINISHED
Object volume number Stat. page number 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: volume number Stat. page number | Statement: [United States Statutes at Large, legalCitationFormat, volume number Stat. page number]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: legalCitationFormat
Context triple: [United States Statutes at Large, legalCitationFormat, volume number Stat. page number]
  • A. legalForm
    Indicates the specific legal structure or organizational type under which an entity is formally constituted and recognized by law.
  • B. format chosen
    Indicates the specific arrangement, structure, or presentation style in which something is organized or expressed.
  • C. citation
    Indicates that one entity references, quotes, or otherwise acknowledges another entity as a source of information or authority.
  • D. statutesAtLargeCitation
    Indicates that one entity cites or is referenced by a specific citation in the United States Statutes at Large.
  • E. legalSystem
    Indicates the formal framework of laws, rules, and institutions that governs how legal matters are defined, interpreted, and enforced within a society or jurisdiction.
  • 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_69a2479dec388190967ba648663442c9 completed Feb. 28, 2026, 1:40 a.m.
NER Named-entity recognition batch_69a249ec0d288190ac3a0939db61813b completed Feb. 28, 2026, 1:50 a.m.
PD Predicate disambiguation batch_69a24870417081909c7c01e400c94716 completed Feb. 28, 2026, 1:44 a.m.
Created at: Feb. 28, 2026, 1:44 a.m.