Triple

T35541895
Position Surface form Disambiguated ID Type / Status
Subject 85-864 E1027082 entity
Predicate lawNumberingScheme P1117 FINISHED
Object Public Law 85-864 NE NERFINISHED

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: Public Law 85-864 | Statement: [85-864, lawNumberingScheme, Public Law 85-864]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: lawNumberingScheme
Context triple: [85-864, lawNumberingScheme, Public Law 85-864]
  • A. legislatureNumberingScheme
    Indicates how legislative bodies or sessions are sequentially numbered or labeled within a given political or legal system.
  • B. legalNumbering
    Indicates that an entity has an officially assigned legal or regulatory identification number.
  • C. historicalNumberingScheme
    Indicates that the associated numbering system or identifier reflects a past or legacy scheme that was used historically rather than the current one.
  • D. standardNumberingScheme
    Indicates that there is a specific, commonly accepted numbering system or convention being applied to identify or order the related entities.
  • E. publicLawNumber chosen
    Indicates the specific public law identifier associated with a legislative act or statute.
  • 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_69f76e008ba08190927acd8e5e0344c8 completed May 3, 2026, 3:47 p.m.
NER Named-entity recognition batch_69f79a54aa3c8190b2bb5d790b2d42d4 completed May 3, 2026, 6:56 p.m.
PD Predicate disambiguation batch_69f7961970408190b669cc556e30a608 completed May 3, 2026, 6:38 p.m.
Created at: May 3, 2026, 4:04 p.m.