Triple

T1759577
Position Surface form Disambiguated ID Type / Status
Subject Willy Messerschmitt E38625 entity
Predicate familyName P18 FINISHED
Object Messerschmitt E114107 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: Messerschmitt | Statement: [Willy Messerschmitt, familyName, Messerschmitt]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Messerschmitt
Context triple: [Willy Messerschmitt, familyName, Messerschmitt]
  • A. Messerschmitt chosen
    Messerschmitt was a prominent German aircraft manufacturer best known for producing fighter planes such as the Bf 109 and Me 262 during World War II.
  • B. Focke-Wulf
    Focke-Wulf was a German aircraft manufacturer best known for producing several prominent World War II military aircraft, including the Fw 190 fighter.
  • C. Heinkel
    Heinkel was a German aircraft manufacturing company best known for producing military aircraft for Nazi Germany during World War II.
  • D. Arado Flugzeugwerke
    Arado Flugzeugwerke was a German aircraft manufacturer best known for producing military planes for the Luftwaffe during World War II, including pioneering jet-powered designs.
  • E. Junkers
    Junkers was a pioneering German aircraft manufacturer renowned for producing innovative military and civilian airplanes, particularly 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_69a8862d562481908d7025a1c1f67c0d completed March 4, 2026, 7:21 p.m.
NER Named-entity recognition batch_69aa643f6a188190a250d5982badcce5 completed March 6, 2026, 5:21 a.m.
NED1 Entity disambiguation (via context triple) batch_69ada0ec80f48190bcdc92e5ed4e44e6 completed March 8, 2026, 4:16 p.m.
Created at: March 4, 2026, 7:31 p.m.