Triple

T1652335
Position Surface form Disambiguated ID Type / Status
Subject Göppingen E35718 entity
Predicate vehicleRegistrationCode P1173 FINISHED
Object GP
GP is the vehicle registration code used on license plates for the German town and district of Göppingen in the state of Baden-Württemberg.
E186663 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: GP | Statement: [Göppingen, vehicleRegistrationCode, GP]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: GP
Context triple: [Göppingen, vehicleRegistrationCode, GP]
  • A. GP
    GP is the two-letter ISO 3166-1 alpha-2 country code assigned to Guadeloupe.
  • B. GPC
    GPC is the GNU Pascal Compiler, a free, open-source Pascal compiler that is part of the GNU Compiler Collection (GCC) project.
  • C. GPC
    GPC is a discount cigarette brand produced by the tobacco company Brown & Williamson.
  • D. GD
    GD is the vehicle registration code used on license plates for cars registered in the city of Gdańsk, Poland.
  • E. GD
    GD is the stock ticker symbol for General Dynamics, a major American aerospace and defense corporation.
  • 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: GP
Triple: [Göppingen, vehicleRegistrationCode, GP]
Generated description
GP is the vehicle registration code used on license plates for the German town and district of Göppingen in the state of Baden-Württemberg.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: GP
Target entity description: GP is the vehicle registration code used on license plates for the German town and district of Göppingen in the state of Baden-Württemberg.
  • A. GP
    GP is the two-letter ISO 3166-1 alpha-2 country code assigned to Guadeloupe.
  • B. GPC
    GPC is the GNU Pascal Compiler, a free, open-source Pascal compiler that is part of the GNU Compiler Collection (GCC) project.
  • C. GPC
    GPC is a discount cigarette brand produced by the tobacco company Brown & Williamson.
  • D. GD
    GD is the vehicle registration code used on license plates for cars registered in the city of Gdańsk, Poland.
  • E. GD
    GD is the stock ticker symbol for General Dynamics, a major American aerospace and defense corporation.
  • 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_69a8860568888190a32cd9f70acbba42 completed March 4, 2026, 7:20 p.m.
NER Named-entity recognition batch_69a90a88cb108190a836b972f600c257 completed March 5, 2026, 4:46 a.m.
NED1 Entity disambiguation (via context triple) batch_69ad60ac133881909222b25029096407 completed March 8, 2026, 11:42 a.m.
NEDg Description generation batch_69ad613d218081909e3ed7e74dcf82fc completed March 8, 2026, 11:45 a.m.
NED2 Entity disambiguation (via description) batch_69ad61b178148190a088495eb599c9cb completed March 8, 2026, 11:46 a.m.
Created at: March 4, 2026, 7:29 p.m.