Triple

T8131545
Position Surface form Disambiguated ID Type / Status
Subject G36 series E189862 entity
Predicate hasVariant P455 FINISHED
Object MG36
The MG36 is a light machine gun variant of the German G36 assault rifle, designed to provide sustained automatic fire with a heavier barrel and higher-capacity magazines.
E713978 NE FINISHED

How this triple was built (4 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: MG36 | Statement: [G36 series, hasVariant, MG36]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: MG36
Context triple: [G36 series, hasVariant, MG36]
  • 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
    MG is a historic British automotive marque best known for its sports cars, now owned and produced by Chinese manufacturer SAIC Motor.
  • C. MGY
    MGY was the distinctive wireless call sign used by the RMS Titanic for its radio communications.
  • D. 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.
  • E. MZG
    MZG is the vehicle registration code used on license plates for vehicles registered in the town of Wadern in Germany.
  • F. None of above. chosen
  • G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg Description generation gpt-5.1
Instruction
Generate a one-sentence description of the target entity. 
You are given a context triple in the form (subject, predicate, object), where the object is the target entity. 
# Instructions
Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. 
Avoid repeating the information from the triple, unless really essential.
# Response Format
Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: MG36
Triple: [G36 series, hasVariant, MG36]
Generated description
The MG36 is a light machine gun variant of the German G36 assault rifle, designed to provide sustained automatic fire with a heavier barrel and higher-capacity magazines.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: MG36
Target entity description: The MG36 is a light machine gun variant of the German G36 assault rifle, designed to provide sustained automatic fire with a heavier barrel and higher-capacity magazines.
  • 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
    MG is a historic British automotive marque best known for its sports cars, now owned and produced by Chinese manufacturer SAIC Motor.
  • C. MGY
    MGY was the distinctive wireless call sign used by the RMS Titanic for its radio communications.
  • D. 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.
  • E. MZG
    MZG is the vehicle registration code used on license plates for vehicles registered in the town of Wadern in Germany.
  • F. None of above. chosen

Provenance (5 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_69ca82bcb4848190a9a9d036ad768642 completed March 30, 2026, 2:03 p.m.
NER Named-entity recognition batch_69cb43b96cd481908c0679050c35d83f completed March 31, 2026, 3:47 a.m.
NED1 Entity disambiguation (via context triple) batch_69cc9482113881909439c9e43fbc933f completed April 1, 2026, 3:44 a.m.
NEDg Description generation batch_69cc95c0b19881908521cce5ac0fe197 completed April 1, 2026, 3:49 a.m.
NED2 Entity disambiguation (via description) batch_69cc970698f88190a0869515904e50e3 completed April 1, 2026, 3:54 a.m.
Created at: March 30, 2026, 5:34 p.m.