Triple

T8233244
Position Surface form Disambiguated ID Type / Status
Subject Bölkow Bo‑105 E192343 entity
Predicate manufacturer P490 FINISHED
Object Bölkow E498808 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: Bölkow | Statement: [Bölkow Bo‑105, manufacturer, Bölkow]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Bölkow
Context triple: [Bölkow Bo‑105, manufacturer, Bölkow]
  • A. Bölkow chosen
    Bölkow was a German aerospace company known for its development of helicopters and aircraft, which later became part of the larger conglomerate Messerschmitt-Bölkow-Blohm (MBB).
  • B. Messerschmitt-Bölkow-Blohm
    Messerschmitt-Bölkow-Blohm was a major West German aerospace company known for producing military aircraft, helicopters, and space systems before becoming part of Airbus.
  • C. Lippisch
    Lippisch is a German surname most notably associated with Alexander Lippisch, a pioneering aeronautical engineer known for his work on delta-wing aircraft designs.
  • D. Junkers
    Junkers was a pioneering German aircraft manufacturer renowned for producing innovative military and civilian airplanes, particularly during the early to mid-20th century.
  • E. Heinkel
    Heinkel was a German aircraft manufacturing company best known for producing military aircraft for Nazi Germany during World War II.
  • 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_69ca82db5b90819085d1ad7c2e27bfcc completed March 30, 2026, 2:04 p.m.
NER Named-entity recognition batch_69cb782658fc8190885dc267355ff245 completed March 31, 2026, 7:30 a.m.
NED1 Entity disambiguation (via context triple) batch_69cd34f0a770819089520e689ca9937a completed April 1, 2026, 3:08 p.m.
Created at: March 30, 2026, 5:46 p.m.