Triple

T2807277
Position Surface form Disambiguated ID Type / Status
Subject Spalding County, Georgia E54082 entity
Predicate postalAbbreviation 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: [Spalding County, Georgia, postalAbbreviation, GA]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: GA
Context triple: [Spalding County, Georgia, postalAbbreviation, 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. GA
    GA is the IATA airline designator for Garuda Indonesia, the national flag carrier of Indonesia.
  • D. GA
    GA is the abbreviation commonly used for Greater Anglia, a train operating company serving routes in East Anglia and London in the United Kingdom.
  • E. 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.
  • 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_69ab49dcee188190b5c6eca9ae9e3469 completed March 6, 2026, 9:40 p.m.
NER Named-entity recognition batch_69abde2ec2ac8190bd702ad3eafb6aed completed March 7, 2026, 8:13 a.m.
NED1 Entity disambiguation (via context triple) batch_69afc678d6488190be73244b7e78f30c completed March 10, 2026, 7:21 a.m.
Created at: March 6, 2026, 9:59 p.m.