Triple

T10923640
Position Surface form Disambiguated ID Type / Status
Subject Do 17Z E258008 entity
Predicate manufacturer P490 FINISHED
Object Dornier E902256 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: Dornier | Statement: [Do 17Z, manufacturer, Dornier]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Dornier
Context triple: [Do 17Z, manufacturer, Dornier]
  • A. Dornier aircraft chosen
    Dornier aircraft are a series of German-designed airplanes, ranging from pioneering flying boats to military and civilian aircraft, produced by the Dornier company throughout the 20th century.
  • B. Dornier Do X
    The Dornier Do X was a massive German flying boat of the late 1920s and early 1930s, famous for being one of the largest and most ambitious passenger aircraft of its time.
  • C. Dornier Do 31
    The Dornier Do 31 was a German experimental vertical take-off and landing (VTOL) jet transport aircraft developed in the 1960s for potential military airlift use.
  • D. Fairchild-Dornier
    Fairchild-Dornier was a German-American aircraft manufacturer formed in the 1990s that focused on regional and business jets before declaring bankruptcy in the early 2000s.
  • E. Dornier Do J Wal
    The Dornier Do J Wal was a German twin-engine flying boat of the 1920s and 1930s, widely used for long-distance flights, exploration, and military patrol duties by numerous countries.
  • 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_69d6aa864ed88190818280ab6791d065 completed April 8, 2026, 7:20 p.m.
NER Named-entity recognition batch_69d7708e3fd881908da10f24a856364c completed April 9, 2026, 9:25 a.m.
NED1 Entity disambiguation (via context triple) batch_69e46283f41c8190ac3e1f196c5e4ca0 completed April 19, 2026, 5:05 a.m.
Created at: April 8, 2026, 9:22 p.m.