Triple

T5301173
Position Surface form Disambiguated ID Type / Status
Subject Ortenaukreis E119983 entity
Predicate vehicleRegistrationCode P1173 FINISHED
Object BH
BH is a German vehicle registration code formerly used for the district of Ortenaukreis in the state of Baden-Württemberg.
 E509539 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: BH | Statement: [Ortenaukreis, vehicleRegistrationCode, BH]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: BH
Context triple: [Ortenaukreis, vehicleRegistrationCode, BH]
  • A. BH
    BH is the international vehicle registration code assigned to the Kingdom of Bahrain.
  • B. BH
    BH is a major Brazilian city and the capital of the state of Minas Gerais, known for its modernist architecture, surrounding mountains, and vibrant cultural and culinary scenes.
  • C. BH
    BH is the UK postcode area covering Bournemouth and surrounding parts of southern England.
  • D. HB
    HB is the second-generation Holden Torana small family car series produced in the late 1960s, known for introducing more modern styling and engineering updates over its predecessor.
  • E. HB
    HB is the official vehicle registration code used on license plates for the German city-state of Bremen.
  • 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: BH
Triple: [Ortenaukreis, vehicleRegistrationCode, BH]
Generated description
BH is a German vehicle registration code formerly used for the district of Ortenaukreis in the state of Baden-Württemberg.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: BH
Target entity description: BH is a German vehicle registration code formerly used for the district of Ortenaukreis in the state of Baden-Württemberg.
  • A. BH
    BH is the international vehicle registration code assigned to the Kingdom of Bahrain.
  • B. BH
    BH is the UK postcode area covering Bournemouth and surrounding parts of southern England.
  • C. BH
    BH is a major Brazilian city and the capital of the state of Minas Gerais, known for its modernist architecture, surrounding mountains, and vibrant cultural and culinary scenes.
  • D. HB
    HB is the second-generation Holden Torana small family car series produced in the late 1960s, known for introducing more modern styling and engineering updates over its predecessor.
  • E. HB
    HB is the official vehicle registration code used on license plates for the German city-state of Bremen.
  • 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_69bd44704be88190acdb2ac481b0ff55 completed March 20, 2026, 12:58 p.m.
NER Named-entity recognition batch_69bd8509f67c8190b2f82a8370301a59 completed March 20, 2026, 5:34 p.m.
NED1 Entity disambiguation (via context triple) batch_69bf10f040f48190b34a586d362264ee completed March 21, 2026, 9:43 p.m.
NEDg Description generation batch_69bf11635b9c819092130c46caea9306 completed March 21, 2026, 9:45 p.m.
NED2 Entity disambiguation (via description) batch_69bf11e982d08190bc74312bf6ee7127 completed March 21, 2026, 9:47 p.m.
Created at: March 20, 2026, 1:53 p.m.