Triple

T3688891
Position Surface form Disambiguated ID Type / Status
Subject Bad Harzburg E78294 entity
Predicate vehicleRegistrationCode P1173 FINISHED
Object GS E256505 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: GS | Statement: [Bad Harzburg, vehicleRegistrationCode, GS]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: GS
Context triple: [Bad Harzburg, vehicleRegistrationCode, GS]
  • A. GS
    GS is the two-letter ISO 3166 country code assigned to the British Overseas Territory of South Georgia and the South Sandwich Islands in the southern Atlantic Ocean.
  • B. GS chosen
    GS is the vehicle registration code used on license plates for the district of Goslar in Lower Saxony, Germany.
  • C. GD
    GD is the vehicle registration code used on license plates for cars registered in the city of Gdańsk, Poland.
  • D. GD
    GD is the stock ticker symbol for General Dynamics, a major American aerospace and defense corporation.
  • 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_69ad85e285a081908f8cbfa9e2ed9b75 completed March 8, 2026, 2:21 p.m.
NER Named-entity recognition batch_69adc4c960788190b73ede08658846aa completed March 8, 2026, 6:49 p.m.
NED1 Entity disambiguation (via context triple) batch_69b4c3c5b6488190afb8cc599d633a96 completed March 14, 2026, 2:11 a.m.
Created at: March 8, 2026, 3:26 p.m.