Triple

T2665310
Position Surface form Disambiguated ID Type / Status
Subject Avro Manchester E55620 entity
Predicate designer P184 FINISHED
Object Avro E113414 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: Avro | Statement: [Avro Manchester, designer, Avro]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Avro
Context triple: [Avro Manchester, designer, Avro]
  • A. Avro
    Avro is a row-oriented, schema-based data serialization format commonly used in big data processing and storage systems.
  • B. Avro chosen
    Avro was a British aircraft manufacturer best known for producing iconic military aircraft such as the Avro Lancaster bomber during the 20th century.
  • C. Hawker
    Hawker is a surname of English origin borne by various notable individuals across fields such as aviation, politics, and the arts.
  • D. Fairey
    Fairey is the surname of American contemporary street artist and graphic designer Shepard Fairey, known for his iconic "Obey Giant" campaign and the Barack Obama "Hope" poster.
  • E. Blackburn Aircraft
    Blackburn Aircraft was a British aircraft manufacturer known for producing military and naval aircraft, particularly for the Royal Navy, during the early to 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_69ab49e54de48190be708cd1cf8be073 completed March 6, 2026, 9:40 p.m.
NER Named-entity recognition batch_69abd96ed2748190a4feae98199b459d completed March 7, 2026, 7:53 a.m.
NED1 Entity disambiguation (via context triple) batch_69afbbb50cec8190aea067e486a5b092 completed March 10, 2026, 6:35 a.m.
Created at: March 6, 2026, 9:54 p.m.