Triple

T3137377
Position Surface form Disambiguated ID Type / Status
Subject BMW 4 Series E65565 entity
Predicate secondGeneration P41139 FINISHED
Object G26
G26 is BMW’s internal model designation for the second-generation 4 Series Gran Coupé, a compact executive five-door fastback.
 E329428 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: G26 | Statement: [BMW 4 Series, secondGeneration, G26]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: G26
Context triple: [BMW 4 Series, secondGeneration, G26]
  • A. G-24
    G-24 is an intergovernmental group of developing countries that coordinates positions on international monetary and development finance issues.
  • B. JG 26
    JG 26 was a prominent Luftwaffe fighter wing of Nazi Germany during World War II, noted for its experienced pilots and extensive combat on the Western Front.
  • C. S26
    S26 is a line of the Berlin S-Bahn urban rail network serving various stations across the Berlin metropolitan area.
  • D. G.826x
    G.826x is an ITU-T standards series that defines methods and requirements for packet-based frequency and time synchronization in telecommunications networks.
  • E. G-2
    G-2 is the U.S. Army staff designation for the senior intelligence officer responsible for overseeing military intelligence activities and analysis.
  • 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: G26
Triple: [BMW 4 Series, secondGeneration, G26]
Generated description
G26 is BMW’s internal model designation for the second-generation 4 Series Gran Coupé, a compact executive five-door fastback.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: G26
Target entity description: G26 is BMW’s internal model designation for the second-generation 4 Series Gran Coupé, a compact executive five-door fastback.
  • A. G-24
    G-24 is an intergovernmental group of developing countries that coordinates positions on international monetary and development finance issues.
  • B. JG 26
    JG 26 was a prominent Luftwaffe fighter wing of Nazi Germany during World War II, noted for its experienced pilots and extensive combat on the Western Front.
  • C. S26
    S26 is a line of the Berlin S-Bahn urban rail network serving various stations across the Berlin metropolitan area.
  • D. G.826x
    G.826x is an ITU-T standards series that defines methods and requirements for packet-based frequency and time synchronization in telecommunications networks.
  • E. G-2
    G-2 is the U.S. Army staff designation for the senior intelligence officer responsible for overseeing military intelligence activities and analysis.
  • 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.