Triple

T33183
Position Surface form Disambiguated ID Type / Status
Subject PR E662 entity
Predicate partOfStandard P35 FINISHED
Object USPS two-letter codes 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: USPS two-letter codes | Statement: [PR, partOfStandard, USPS two-letter codes]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: partOfStandard
Context triple: [PR, partOfStandard, USPS two-letter codes]
  • A. partOfSystem
    Indicates that one entity functions as a component or subsystem within the structure or organization of another entity.
  • B. usesStandard
    Indicates that one entity adopts, follows, or operates according to a specified standard defined by another entity or reference.
  • C. hasPart chosen
    Indicates that one entity is a component, segment, or constituent part of another entity.
  • D. standardizedBy
    Indicates that one entity defines, regulates, or formalizes the standards or specifications by which another entity is created, measured, or operated.
  • E. firstStandardApproved
    Indicates that an entity is the earliest or initial standard that has received formal approval.
  • 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_69a2496ffc548190b545f998cbebd5b9 completed Feb. 28, 2026, 1:48 a.m.
PD Predicate disambiguation batch_69a248717f5081909952a8c9ed1e1742 completed Feb. 28, 2026, 1:44 a.m.
Created at: Feb. 28, 2026, 1:44 a.m.