Triple

T14532405
Position Surface form Disambiguated ID Type / Status
Subject BMW E23 E340946 entity
Predicate trimLevel P11486 FINISHED
Object 733i
The 733i is an early luxury sedan variant of BMW's first-generation 7 Series, known for its inline-six engine and high-end comfort features.
 E1104178 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: 733i | Statement: [BMW E23, trimLevel, 733i]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: 733i
Context triple: [BMW E23, trimLevel, 733i]
  • A. I3
    I3 is the IATA airline designator formerly assigned to ATA Airlines, a now-defunct U.S. low-cost carrier.
  • B. I3A
    I3A is a global trade association representing companies and organizations involved in the imaging and photographic technology industry.
  • C. M73
    M73 is a short motorway in central Scotland that links the M74 and M80 motorways, serving as part of the main route around the east of Glasgow.
  • D. A73
    A73 is a primary road in Scotland that connects several towns and serves as a key regional transport route.
  • E. A73
    A73 is a major German autobahn in Bavaria and Thuringia that links cities such as Lichtenfels with the broader national motorway network.
  • 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: 733i
Triple: [BMW E23, trimLevel, 733i]
Generated description
The 733i is an early luxury sedan variant of BMW's first-generation 7 Series, known for its inline-six engine and high-end comfort features.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: 733i
Target entity description: The 733i is an early luxury sedan variant of BMW's first-generation 7 Series, known for its inline-six engine and high-end comfort features.
  • A. I3
    I3 is the IATA airline designator formerly assigned to ATA Airlines, a now-defunct U.S. low-cost carrier.
  • B. I3A
    I3A is a global trade association representing companies and organizations involved in the imaging and photographic technology industry.
  • C. M73
    M73 is a short motorway in central Scotland that links the M74 and M80 motorways, serving as part of the main route around the east of Glasgow.
  • D. A73
    A73 is a primary road in Scotland that connects several towns and serves as a key regional transport route.
  • E. A73
    A73 is a major German autobahn in Bavaria and Thuringia that links cities such as Lichtenfels with the broader national motorway network.
  • 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_69d822dac79c8190a84a073f3cbaced5 completed April 9, 2026, 10:06 p.m.
NER Named-entity recognition batch_69dea053f9bc8190901b9d321811d881 completed April 14, 2026, 8:15 p.m.
NED1 Entity disambiguation (via context triple) batch_69fd7a56872c8190a6d2421cb81aeeb1 completed May 8, 2026, 5:53 a.m.
NEDg Description generation batch_69fd7c7764188190b1601bea3b74f4c2 completed May 8, 2026, 6:02 a.m.
NED2 Entity disambiguation (via description) batch_69fd7d3ddc908190ab3afe1a1ab51ac2 completed May 8, 2026, 6:05 a.m.
Created at: April 10, 2026, 1:22 a.m.