Triple

T19335270
Position Surface form Disambiguated ID Type / Status
Subject Giessen district E483605 entity
Predicate vehicleRegistrationCode P1173 FINISHED
Object GI NE NERFINISHED

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: GI | Statement: [Giessen district, vehicleRegistrationCode, GI]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: GI
Context triple: [Giessen district, vehicleRegistrationCode, GI]
  • A. GI chosen
    GI is the vehicle registration code used on license plates for the German city of Gießen in the state of Hesse.
  • B. GIN
    GIN is the three-letter ISO 3166-1 alpha-3 country code assigned to the West African nation of Guinea.
  • 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. GU
    GU is a Japanese casual fashion retail brand known for its affordable, trend-focused clothing and as a sister brand to Uniqlo under the Fast Retailing group.
  • E. GU
    GU is a United Kingdom postcode area covering Guildford and surrounding parts of Surrey and nearby counties.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 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_69d8e8d13e3c81909d91d1d5ec37c095 completed April 10, 2026, 12:10 p.m.
NER Named-entity recognition batch_69e61644b80c819080f9bca086424a36 completed April 20, 2026, 12:04 p.m.
Created at: April 10, 2026, 1:33 p.m.