Triple

T1754606
Position Surface form Disambiguated ID Type / Status
Subject Bentley E38523 entity
Predicate acquiredBy P347 FINISHED
Object Vickers E44162 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: Vickers | Statement: [Bentley, acquiredBy, Vickers]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Vickers
Context triple: [Bentley, acquiredBy, Vickers]
  • A. Vickers-Armstrongs chosen
    Vickers-Armstrongs was a major British engineering and armaments company best known for producing military aircraft, ships, and tanks during the first half of the 20th century.
  • B. Armstrong Whitworth
    Armstrong Whitworth was a major British engineering and armaments manufacturing company prominent in the late 19th and early 20th centuries, known for producing ships, aircraft, and heavy weaponry.
  • C. Avro
    Avro is a row-oriented, schema-based data serialization format commonly used in big data processing and storage systems.
  • D. Avro
    Avro was a British aircraft manufacturer best known for producing iconic military aircraft such as the Avro Lancaster bomber during the 20th century.
  • E. Handley Page Limited
    Handley Page Limited was a pioneering British aircraft manufacturer, particularly renowned for producing large military bombers during the early and mid-20th century.
  • 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_69a8862bdb2081908aefe831c8aa8017 completed March 4, 2026, 7:21 p.m.
NER Named-entity recognition batch_69aa641841748190ad05cac4a27cced9 completed March 6, 2026, 5:20 a.m.
NED1 Entity disambiguation (via context triple) batch_69ada0e84c1c8190917edf14003cba81 completed March 8, 2026, 4:16 p.m.
Created at: March 4, 2026, 7:31 p.m.