Triple

T15006248
Position Surface form Disambiguated ID Type / Status
Subject Corporations Law E377718 entity
Predicate appliedUniformlyThrough P2335 FINISHED
Object cooperative scheme between Commonwealth and 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: cooperative scheme between Commonwealth and States | Statement: [Corporations Law, appliedUniformlyThrough, cooperative scheme between Commonwealth and States]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: appliedUniformlyThrough
Context triple: [Corporations Law, appliedUniformlyThrough, cooperative scheme between Commonwealth and States]
  • A. appliesAcross chosen
    Indicates that a condition, rule, or property holds uniformly over multiple items, cases, or contexts.
  • B. usedUniformlyAcrossCountry
    Indicates that something is applied or practiced in the same way throughout the entire country without regional variation.
  • C. uniformizes
    Indicates making multiple entities or elements consistent, standardized, or uniform in form, appearance, or behavior.
  • D. uniformizedBy
    Indicates that one entity has been made uniform, standardized, or brought into a consistent form or structure by another entity.
  • E. requiresUniformity
    Indicates that one entity imposes a condition that another entity (or set of entities) must be consistent or identical in a specified aspect.
  • 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_69d85cd3a3c881908c71fc424d459c17 completed April 10, 2026, 2:13 a.m.
NER Named-entity recognition batch_69ded7322b5c81909089cbbf816e1436 completed April 15, 2026, 12:09 a.m.
PD Predicate disambiguation batch_69de9a6531a88190acde65199a477350 completed April 14, 2026, 7:49 p.m.
Created at: April 10, 2026, 2:54 a.m.