Triple

T14233944
Position Surface form Disambiguated ID Type / Status
Subject USPS state and territory abbreviation system E352824 entity
Predicate formatConstraint P58313 FINISHED
Object two uppercase letters 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: two uppercase letters | Statement: [USPS state and territory abbreviation system, formatConstraint, two uppercase letters]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: formatConstraint
Context triple: [USPS state and territory abbreviation system, formatConstraint, two uppercase letters]
  • A. formatRequirement
    Indicates that one entity specifies the required structure, style, or arrangement that another entity must follow or conform to.
  • B. hasFormalConstraint chosen
    Indicates that an entity is governed or restricted by an explicitly defined formal rule, condition, or limitation.
  • C. formatMayChange
    Indicates that the format or structure of something is subject to modification and may not remain consistent over time.
  • D. format
    Indicates the specific arrangement, structure, or presentation style in which something is organized or expressed.
  • E. meetsFormat
    Indicates that something conforms to, satisfies, or is compliant with a specified format or structural standard.
  • 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_69d8278adc7c8190a9218d69bce3c4e6 completed April 9, 2026, 10:26 p.m.
NER Named-entity recognition batch_69de62411c888190a154acd56fe3fcaf completed April 14, 2026, 3:50 p.m.
PD Predicate disambiguation batch_69de05bf069c8190b69f00f00f5eb126 completed April 14, 2026, 9:15 a.m.
Created at: April 10, 2026, 1:07 a.m.