Triple

T10633334
Position Surface form Disambiguated ID Type / Status
Subject Kehl E250513 entity
Predicate vehicleRegistrationCode P1173 FINISHED
Object OG
OG is the vehicle registration code for the German district of Ortenaukreis in the state of Baden-Württemberg.
 E876397 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: OG | Statement: [Kehl, vehicleRegistrationCode, OG]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: OG
Context triple: [Kehl, vehicleRegistrationCode, OG]
  • A. OG
    OG is the commonly used abbreviation for the Astronomical Observatory of the University of Warsaw, a major Polish center for astronomical research and education.
  • B. GD
    GD is the vehicle registration code used on license plates for cars registered in the city of Gdańsk, Poland.
  • C. GD
    GD is the vehicle registration code assigned to the town of Aalen in the German state of Baden-Württemberg.
  • D. GD
    GD is the stock ticker symbol for General Dynamics, a major American aerospace and defense corporation.
  • E. GD
    GD is the abbreviation for Guangdong, a populous and economically significant coastal province in southern China.
  • 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: OG
Triple: [Kehl, vehicleRegistrationCode, OG]
Generated description
OG is the vehicle registration code for the German district of Ortenaukreis in the state of Baden-Württemberg.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: OG
Target entity description: OG is the vehicle registration code for the German district of Ortenaukreis in the state of Baden-Württemberg.
  • A. OG
    OG is the commonly used abbreviation for the Astronomical Observatory of the University of Warsaw, a major Polish center for astronomical research and education.
  • B. GD
    GD is the vehicle registration code used on license plates for cars registered in the city of Gdańsk, Poland.
  • C. GD
    GD is the vehicle registration code assigned to the town of Aalen in the German state of Baden-Württemberg.
  • D. GD
    GD is the abbreviation for Guangdong, a populous and economically significant coastal province in southern China.
  • 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_69d6aa5993448190a493b790b8f85010 completed April 8, 2026, 7:19 p.m.
NER Named-entity recognition batch_69d6df95f5e88190b34ce3ec972759ef completed April 8, 2026, 11:07 p.m.
NED1 Entity disambiguation (via context triple) batch_69d96bbd64d8819089d55af875d39e45 completed April 10, 2026, 9:29 p.m.
NEDg Description generation batch_69d9701de92881908c0b8f05eae97e35 completed April 10, 2026, 9:48 p.m.
NED2 Entity disambiguation (via description) batch_69d970f3f78081909bcb2dae6dae06d5 completed April 10, 2026, 9:51 p.m.
Created at: April 8, 2026, 9:02 p.m.