Triple

T3137374
Position Surface form Disambiguated ID Type / Status
Subject BMW 4 Series E65565 entity
Predicate firstGeneration P17321 FINISHED
Object F36
F36 is BMW’s internal model code for the first-generation 4 Series Gran Coupé, a compact executive five-door fastback.
 E329425 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: F36 | Statement: [BMW 4 Series, firstGeneration, F36]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: F36
Context triple: [BMW 4 Series, firstGeneration, F36]
  • A. F-3
    F-3 is a three-quarter-ton model in Ford’s first-generation postwar F-Series pickup truck lineup, known as the “Bonus-Built” trucks produced in the late 1940s and early 1950s.
  • B. N366
    N366 is a regional road in the Netherlands that serves as a key connection route for traffic to and from the municipality of Pekela in the province of Groningen.
  • C. FR-26
    FR-26 is the ISO 3166-2 code designating the Drôme department in southeastern France.
  • D. FR3
    FR3 was a former French public television channel and network that later became part of France Télévisions.
  • E. 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.
  • 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: F36
Triple: [BMW 4 Series, firstGeneration, F36]
Generated description
F36 is BMW’s internal model code for the first-generation 4 Series Gran Coupé, a compact executive five-door fastback.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: F36
Target entity description: F36 is BMW’s internal model code for the first-generation 4 Series Gran Coupé, a compact executive five-door fastback.
  • A. F-3
    F-3 is a three-quarter-ton model in Ford’s first-generation postwar F-Series pickup truck lineup, known as the “Bonus-Built” trucks produced in the late 1940s and early 1950s.
  • B. N366
    N366 is a regional road in the Netherlands that serves as a key connection route for traffic to and from the municipality of Pekela in the province of Groningen.
  • C. FR-26
    FR-26 is the ISO 3166-2 code designating the Drôme department in southeastern France.
  • D. FR3
    FR3 was a former French public television channel and network that later became part of France Télévisions.
  • E. 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.
  • 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_69ad8581c25c8190b0d85ba9b9baa531 completed March 8, 2026, 2:19 p.m.
NER Named-entity recognition batch_69ada574509c81908a88bb10ea35516d completed March 8, 2026, 4:36 p.m.
NED1 Entity disambiguation (via context triple) batch_69b20f8a1a2081909081c36075d4ddbe completed March 12, 2026, 12:57 a.m.
NEDg Description generation batch_69b2137b30508190a5a9a439d77ae3bb completed March 12, 2026, 1:14 a.m.
NED2 Entity disambiguation (via description) batch_69b21413338c8190997d0f2f11f41008 completed March 12, 2026, 1:17 a.m.
Created at: March 8, 2026, 3:05 p.m.