Triple

T15930920
Position Surface form Disambiguated ID Type / Status
Subject Opel Senator E386320 entity
Predicate manufacturer P490 FINISHED
Object Opel E29685 NE FINISHED

How this triple was built (2 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: Opel | Statement: [Opel Senator, manufacturer, Opel]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Opel
Context triple: [Opel Senator, manufacturer, Opel]
  • A. Opel chosen
    Opel is a German automobile manufacturer known for producing a wide range of passenger cars and light commercial vehicles for the European market.
  • B. Vauxhall
    Vauxhall is a long-established British automobile manufacturer known for producing a wide range of passenger cars and light commercial vehicles.
  • C. Vauxhall
    Vauxhall is a central London parliamentary constituency and district on the south bank of the River Thames, known for its transport hub, riverside developments, and diverse urban character.
  • D. Opel family
    The Opel family is a prominent German industrial dynasty best known for founding and developing the Opel automobile manufacturing company.
  • E. Opel Kadett
    The Opel Kadett is a long-running compact car model produced by German automaker Opel, known for its popularity in Europe from the 1930s through the 1990s and as the predecessor to the Opel Astra.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (3 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_69d86da750008190987eb26be3f6c118 completed April 10, 2026, 3:25 a.m.
NER Named-entity recognition batch_69e156a5b9348190962ddc1c35caf44f completed April 16, 2026, 9:37 p.m.
NED1 Entity disambiguation (via context triple) batch_69ffb5b2a8888190824f2252b65920f2 completed May 9, 2026, 10:31 p.m.
Created at: April 10, 2026, 4:52 a.m.