Triple

T14006546
Position Surface form Disambiguated ID Type / Status
Subject BMW X4 E336963 entity
Predicate firstGenerationCode P17321 FINISHED
Object F26
F26 is BMW’s internal model designation for the first-generation BMW X4 compact luxury crossover SUV produced in the mid-2010s.
 E1073308 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: F26 | Statement: [BMW X4, firstGenerationCode, F26]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: F26
Context triple: [BMW X4, firstGenerationCode, F26]
  • A. FR-26
    FR-26 is the ISO 3166-2 code designating the Drôme department in southeastern France.
  • B. F24
    F24 was the pennant number of HMS Maori, a British Tribal-class destroyer that served with distinction in the Royal Navy during World War II.
  • C. F-2
    F-2 is a three-quarter-ton model in Ford’s first-generation postwar F-Series pickup truck lineup, positioned between the lighter F-1 and heavier F-3 trucks.
  • D. F36
    F36 is BMW’s internal model code for the first-generation 4 Series Gran Coupé, a compact executive five-door fastback.
  • E. F63
    F63 is the pennant number of HMS Gurkha, a Royal Navy Tribal-class destroyer that served during the Second World War.
  • 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: F26
Triple: [BMW X4, firstGenerationCode, F26]
Generated description
F26 is BMW’s internal model designation for the first-generation BMW X4 compact luxury crossover SUV produced in the mid-2010s.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: F26
Target entity description: F26 is BMW’s internal model designation for the first-generation BMW X4 compact luxury crossover SUV produced in the mid-2010s.
  • A. FR-26
    FR-26 is the ISO 3166-2 code designating the Drôme department in southeastern France.
  • B. F24
    F24 was the pennant number of HMS Maori, a British Tribal-class destroyer that served with distinction in the Royal Navy during World War II.
  • C. F-2
    F-2 is a three-quarter-ton model in Ford’s first-generation postwar F-Series pickup truck lineup, positioned between the lighter F-1 and heavier F-3 trucks.
  • D. F36
    F36 is BMW’s internal model code for the first-generation 4 Series Gran Coupé, a compact executive five-door fastback.
  • E. F63
    F63 is the pennant number of HMS Gurkha, a Royal Navy Tribal-class destroyer that served during the Second World War.
  • 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_69d81c645c5c8190b1fd16a285a1b78a completed April 9, 2026, 9:38 p.m.
NER Named-entity recognition batch_69de2ed327d88190a53af5768468a8eb completed April 14, 2026, 12:10 p.m.
NED1 Entity disambiguation (via context triple) batch_69fbaca41d24819086df2329ea3c4c9c completed May 6, 2026, 9:03 p.m.
NEDg Description generation batch_69fbae186bb881908ea17ae6b12825af completed May 6, 2026, 9:09 p.m.
NED2 Entity disambiguation (via description) batch_69fbaebaab508190a609fa151c686a0d completed May 6, 2026, 9:12 p.m.
Created at: April 9, 2026, 10:19 p.m.