Triple

T3831875
Position Surface form Disambiguated ID Type / Status
Subject MG E91030 entity
Predicate notableModel P1503 FINISHED
Object MG6 E91030 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: MG6 | Statement: [MG, notableModel, MG6]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: MG6
Context triple: [MG, notableModel, MG6]
  • A. MG 3
    The MG 3 is a German general-purpose machine gun developed in the post–World War II era, derived from the wartime MG 42 design and widely used by NATO and other armed forces.
  • B. MG 51
    The MG 51 is a Swiss general-purpose machine gun developed after World War II, known for its robust construction, high reliability, and long service life in the Swiss Armed Forces.
  • C. MG 1
    MG 1 is a post–World War II German light machine gun developed as a modernized successor to the wartime MG 42, retaining its high rate of fire while adapting to NATO standards.
  • D. MG chosen
    MG is a historic British automotive marque best known for its sports cars, now owned and produced by Chinese manufacturer SAIC Motor.
  • E. Maxus
    Maxus is a commercial vehicle brand known for producing vans, pickups, and light trucks, owned by the Chinese automotive giant SAIC Motor.
  • 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_69aed960b538819096561c8ed448dec9 completed March 9, 2026, 2:29 p.m.
NER Named-entity recognition batch_69aeeb8787bc8190819a7af975b609df completed March 9, 2026, 3:47 p.m.
NED1 Entity disambiguation (via context triple) batch_69b503fcddb481909690b708754d3d8a completed March 14, 2026, 6:45 a.m.
Created at: March 9, 2026, 3:17 p.m.