Triple

T3734459
Position Surface form Disambiguated ID Type / Status
Subject IA E79146 entity
Predicate associatedWithSubdivisionCode P22016 FINISHED
Object US-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: US-IA | Statement: [IA, associatedWithSubdivisionCode, US-IA]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: associatedWithSubdivisionCode
Context triple: [IA, associatedWithSubdivisionCode, US-IA]
  • A. hasSubdivisionCode chosen
    Indicates that an entity is associated with a specific code identifying one of its internal subdivisions (such as a state, province, or region).
  • B. hasSubdivision
    Indicates that one entity is divided into and contains another entity as one of its constituent parts or administrative units.
  • C. hasTypeOfSubdivision
    Indicates that one administrative or territorial unit is classified as a specific kind or category of subdivision.
  • D. representsSubdivisionOf
    Indicates that one administrative or territorial unit is a smaller, constituent part of a larger administrative or territorial unit.
  • E. governingSubdivision
    Indicates that one administrative or political unit serves as the governing authority over a smaller, subordinate territorial subdivision.
  • 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_69ad8b0e4650819090ad7cef094285e8 completed March 8, 2026, 2:43 p.m.
NER Named-entity recognition batch_69adcb39dc0881909cd74ff25d8c43a9 completed March 8, 2026, 7:17 p.m.
PD Predicate disambiguation batch_69adc04746588190b0dc535638f23546 completed March 8, 2026, 6:30 p.m.
Created at: March 8, 2026, 3:34 p.m.