Triple

T1989669
Position Surface form Disambiguated ID Type / Status
Subject Louisa County, Iowa E43222 entity
Predicate usesPostalAbbreviation P2461 FINISHED
Object IA 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: IA | Statement: [Louisa County, Iowa, usesPostalAbbreviation, IA]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: usesPostalAbbreviation
Context triple: [Louisa County, Iowa, usesPostalAbbreviation, IA]
  • A. hasPostalAbbreviationState chosen
    Indicates that a state is associated with a specific standardized postal abbreviation.
  • B. hasPostalAbbreviationProvince
    Indicates that a province is associated with a specific standardized postal abbreviation used in mailing addresses.
  • C. postalCode
    Indicates the numerical or alphanumerical code assigned to a geographic area for mail delivery associated with an entity.
  • D. hasPostalCodePrefix
    Indicates that a location’s postal code begins with a specified sequence of characters.
  • E. postalArea
    Indicates that one entity is the postal or ZIP code area associated with the location or address represented by the other entity.
  • 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_69a88714cf2c819081644be450b8356e completed March 4, 2026, 7:25 p.m.
NER Named-entity recognition batch_69abb8ee02dc81908fec9fd8df7a4f40 completed March 7, 2026, 5:34 a.m.
PD Predicate disambiguation batch_69abb79ad6888190be99943a9c73cf3e completed March 7, 2026, 5:28 a.m.
Created at: March 4, 2026, 7:37 p.m.