Triple

T13043413
Position Surface form Disambiguated ID Type / Status
Subject BMW 02 Series E327254 entity
Predicate chassisCode P44383 FINISHED
Object E10
E10 is the internal BMW chassis code for the classic 02 Series compact sports sedans produced in the late 1960s and 1970s.
 E1018176 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: E10 | Statement: [BMW 02 Series, chassisCode, E10]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: E10
Context triple: [BMW 02 Series, chassisCode, E10]
  • A. E1
    E1 is a central London postcode district covering parts of areas such as Whitechapel, Stepney, and Spitalfields in the East End.
  • B. E12
    E12 is a European route that forms part of the international E-road network, connecting Finland with Sweden and Norway across the Nordic region.
  • C. E5
    E5 is the IATA airline designator assigned to Air Arabia Egypt, a low-cost carrier based in Egypt.
  • D. E20
    E20 is a major trans-European route running west–east across several countries from Ireland through the United Kingdom and northern Europe to Russia.
  • E. E18
    E18 is a major trans-European road that runs from Craigavon in Northern Ireland through Scotland, Norway, Sweden, and Finland to Saint Petersburg in Russia.
  • 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: E10
Triple: [BMW 02 Series, chassisCode, E10]
Generated description
E10 is the internal BMW chassis code for the classic 02 Series compact sports sedans produced in the late 1960s and 1970s.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: E10
Target entity description: E10 is the internal BMW chassis code for the classic 02 Series compact sports sedans produced in the late 1960s and 1970s.
  • A. E1
    E1 is a central London postcode district covering parts of areas such as Whitechapel, Stepney, and Spitalfields in the East End.
  • B. E12
    E12 is a European route that forms part of the international E-road network, connecting Finland with Sweden and Norway across the Nordic region.
  • C. E5
    E5 is the IATA airline designator assigned to Air Arabia Egypt, a low-cost carrier based in Egypt.
  • D. E20
    E20 is a major trans-European route running west–east across several countries from Ireland through the United Kingdom and northern Europe to Russia.
  • E. E18
    E18 is a major trans-European road that runs from Craigavon in Northern Ireland through Scotland, Norway, Sweden, and Finland to Saint Petersburg in Russia.
  • 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_69d8076e64308190904fb5c93517c901 completed April 9, 2026, 8:09 p.m.
NER Named-entity recognition batch_69d98050157c8190bb8c640b759ac2b7 completed April 10, 2026, 10:57 p.m.
NED1 Entity disambiguation (via context triple) batch_69f6cbd720248190a23a07dadc7e1348 completed May 3, 2026, 4:15 a.m.
NEDg Description generation batch_69f6cd706f548190af79efa973434af9 completed May 3, 2026, 4:22 a.m.
NED2 Entity disambiguation (via description) batch_69f6ce23ca208190960409130c4c52a9 completed May 3, 2026, 4:25 a.m.
Created at: April 9, 2026, 8:56 p.m.