Triple

T17529871
Position Surface form Disambiguated ID Type / Status
Subject Me 210A E426899 entity
Predicate hasVariant P455 FINISHED
Object Me 210A-2 NE NERFINISHED

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: Me 210A-2 | Statement: [Me 210A, hasVariant, Me 210A-2]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Me 210A-2
Context triple: [Me 210A, hasVariant, Me 210A-2]
  • A. Me 210A chosen
    The Me 210A was an early production version of the German Messerschmitt Me 210 twin-engine heavy fighter and ground-attack aircraft used during World War II.
  • B. Me 210C
    The Me 210C was an improved, later-production version of the German Messerschmitt Me 210 heavy fighter and ground-attack aircraft used during World War II.
  • C. ME 192
    ME 192 is a state highway in Maine that connects several rural communities in the eastern part of the state.
  • D. ME 191
    ME 191 is a state highway in Maine that runs through Washington County, connecting several coastal and inland communities.
  • E. M-20
    M-20 is a state trunkline highway in Michigan that runs east–west across the central part of the state, connecting communities such as Midland to the broader regional road network.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 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_69d889de677081909b22d2657b1f0292 completed April 10, 2026, 5:25 a.m.
NER Named-entity recognition batch_69e45367d68c819097f300381322f11d completed April 19, 2026, 4 a.m.
Created at: April 10, 2026, 5:49 a.m.