Triple

T16302528
Position Surface form Disambiguated ID Type / Status
Subject BMW X3 E395826 entity
Predicate firstGenerationCode P17321 FINISHED
Object E83
E83 is the internal model designation for the first-generation BMW X3 compact luxury crossover SUV produced in the mid-2000s.
 E1205048 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: E83 | Statement: [BMW X3, firstGenerationCode, E83]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: E83
Context triple: [BMW X3, firstGenerationCode, E83]
  • A. E89
    E89 is the internal BMW designation for the second-generation Z4 roadster, known for its retractable hardtop and sporty grand-touring character.
  • B. E80
    E80 is a major European route that forms part of the international road network connecting Podgorica with other key cities across the continent.
  • C. E81
    E81 is a major north–south European route that runs through parts of Romania and other Eastern European countries, connecting key cities and facilitating international road transport.
  • D. EH8
    EH8 is a central Edinburgh postcode district covering areas including Holyrood and parts of the city’s historic core.
  • E. E42
    E42 is a major European route that runs across parts of Western Europe, connecting key cities and motorways in countries such as France, Belgium, Luxembourg, and Germany.
  • 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: E83
Triple: [BMW X3, firstGenerationCode, E83]
Generated description
E83 is the internal model designation for the first-generation BMW X3 compact luxury crossover SUV produced in the mid-2000s.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: E83
Target entity description: E83 is the internal model designation for the first-generation BMW X3 compact luxury crossover SUV produced in the mid-2000s.
  • A. E89
    E89 is the internal BMW designation for the second-generation Z4 roadster, known for its retractable hardtop and sporty grand-touring character.
  • B. E80
    E80 is a major European route that forms part of the international road network connecting Podgorica with other key cities across the continent.
  • C. E81
    E81 is a major north–south European route that runs through parts of Romania and other Eastern European countries, connecting key cities and facilitating international road transport.
  • D. EH8
    EH8 is a central Edinburgh postcode district covering areas including Holyrood and parts of the city’s historic core.
  • E. E42
    E42 is a major European route that runs across parts of Western Europe, connecting key cities and motorways in countries such as France, Belgium, Luxembourg, and Germany.
  • 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_69d87f23bb088190a16fbb91a1957ea5 completed April 10, 2026, 4:40 a.m.
NER Named-entity recognition batch_69e25e3404288190a7106d62c15c3193 completed April 17, 2026, 4:22 p.m.
NED1 Entity disambiguation (via context triple) batch_6a001f9fb2908190a8521b1ccf49170a completed May 10, 2026, 6:03 a.m.
NEDg Description generation batch_6a00204bc3dc8190af075707f8989e3a completed May 10, 2026, 6:06 a.m.
NED2 Entity disambiguation (via description) batch_6a00215cc7a48190a5c4219d15749aa2 completed May 10, 2026, 6:10 a.m.
Created at: April 10, 2026, 5:06 a.m.