Triple

T980759
Position Surface form Disambiguated ID Type / Status
Subject Sumter County, Georgia E21160 entity
Predicate hasPostalAbbreviation P43 FINISHED
Object GA E82200 NE 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: GA | Statement: [Sumter County, Georgia, hasPostalAbbreviation, GA]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: GA
Context triple: [Sumter County, Georgia, hasPostalAbbreviation, GA]
  • A. GA
    GA is the commonly used abbreviation for the United Nations General Assembly, the main deliberative body of the UN where all member states are represented.
  • B. GA chosen
    GA is the official two-letter United States Postal Service abbreviation for the state of Georgia.
  • C. GU
    GU is the two-letter ISO 3166 country code assigned to Guam, an unincorporated territory of the United States in the western Pacific Ocean.
  • D. GD
    GD is the vehicle registration code used on license plates for cars registered in the city of Gdańsk, Poland.
  • E. GN
    GN is a fast, meta-build system tool used primarily by the Chromium project to generate build files for Ninja.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

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_69a493c2b62c8190b616351789ec47f8 completed March 1, 2026, 7:30 p.m.
NER Named-entity recognition batch_69a4b47b58ec81908d95f151b9af3dae completed March 1, 2026, 9:49 p.m.
NED1 Entity disambiguation (via context triple) batch_69ac1ce14ffc8190b2d0a7915960ff89 completed March 7, 2026, 12:41 p.m.
Created at: March 1, 2026, 7:40 p.m.