Triple

T21014267
Position Surface form Disambiguated ID Type / Status
Subject Linden, Germany E517630 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: [Linden, Germany, vehicleRegistrationCode, GI]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: GI
Context triple: [Linden, Germany, 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_69e0b50262b081909bc488937145eb73 completed April 16, 2026, 10:08 a.m.
NER Named-entity recognition batch_69e6fc5764188190829de6f5abd6e00f completed April 21, 2026, 4:25 a.m.
Created at: April 16, 2026, 1:54 p.m.