Triple

T4214114
Position Surface form Disambiguated ID Type / Status
Subject Opel Vectra B E93972 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 Vectra B, manufacturer, Opel]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Opel
Context triple: [Opel Vectra B, 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 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.
  • E. Opel Antara
    The Opel Antara is a compact crossover SUV produced by German automaker Opel, sharing its platform and many components with the Saturn Vue and Chevrolet Captiva.
  • 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_69b3451743608190808f41d17ccf2650 completed March 12, 2026, 10:58 p.m.
NER Named-entity recognition batch_69b34be700908190a8cf5e3a27dad5bf completed March 12, 2026, 11:27 p.m.
NED1 Entity disambiguation (via context triple) batch_69b59634e52c81908cb967f124a96950 completed March 14, 2026, 5:09 p.m.
Created at: March 12, 2026, 11:04 p.m.