Triple

T842885
Position Surface form Disambiguated ID Type / Status
Subject Gdańsk E18213 entity
Predicate vehicleRegistrationCode P1173 FINISHED
Object GD
GD is the vehicle registration code used on license plates for cars registered in the city of Gdańsk, Poland.
 E99461 NE FINISHED

How this triple was built (4 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: GD | Statement: [Gdańsk, vehicleRegistrationCode, GD]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: GD
Context triple: [Gdańsk, vehicleRegistrationCode, GD]
  • A. 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.
  • B. GN
    GN is a fast, meta-build system tool used primarily by the Chromium project to generate build files for Ninja.
  • C. GP
    GP is the two-letter ISO 3166-1 alpha-2 country code assigned to Guadeloupe.
  • D. 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.
  • E. GG
    GG was the original designation for New York City's G subway service, a crosstown line that runs through Brooklyn and Queens without entering Manhattan.
  • F. None of above. chosen
  • G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg Description generation gpt-5.1
Instruction
Generate a one-sentence description of the target entity. 
You are given a context triple in the form (subject, predicate, object), where the object is the target entity. 
# Instructions
Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. 
Avoid repeating the information from the triple, unless really essential.
# Response Format
Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: GD
Triple: [Gdańsk, vehicleRegistrationCode, GD]
Generated description
GD is the vehicle registration code used on license plates for cars registered in the city of Gdańsk, Poland.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: GD
Target entity description: GD is the vehicle registration code used on license plates for cars registered in the city of Gdańsk, Poland.
  • A. 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.
  • B. GN
    GN is a fast, meta-build system tool used primarily by the Chromium project to generate build files for Ninja.
  • C. GP
    GP is the two-letter ISO 3166-1 alpha-2 country code assigned to Guadeloupe.
  • D. 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.
  • E. GG
    GG was the original designation for New York City's G subway service, a crosstown line that runs through Brooklyn and Queens without entering Manhattan.
  • F. None of above. chosen

Provenance (5 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_69a4938b04208190b82e1df6b572c548 completed March 1, 2026, 7:29 p.m.
NER Named-entity recognition batch_69a4abe8a0bc81909b54af465e67be1f completed March 1, 2026, 9:13 p.m.
NED1 Entity disambiguation (via context triple) batch_69a7929c8c9c8190a0279f347ab64765 completed March 4, 2026, 2:02 a.m.
NEDg Description generation batch_69a792fcb75881908562b79005d62b3b completed March 4, 2026, 2:03 a.m.
NED2 Entity disambiguation (via description) batch_69a793fd988481908ad3c6d2cd46026d completed March 4, 2026, 2:07 a.m.
Created at: March 1, 2026, 7:38 p.m.