Triple

T8375809
Position Surface form Disambiguated ID Type / Status
Subject HK21 E197571 entity
Predicate designer P184 FINISHED
Object Heckler & Koch E36253 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: Heckler & Koch | Statement: [HK21, designer, Heckler & Koch]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Heckler & Koch
Context triple: [HK21, designer, Heckler & Koch]
  • A. Heckler & Koch chosen
    Heckler & Koch is a German defense manufacturer renowned for producing small arms such as the G3, MP5, and HK416 rifles used by military and law enforcement worldwide.
  • B. Mauser
    Mauser is a historic German arms manufacturer renowned for its influential bolt-action rifles and other military firearms.
  • C. Steyr
    Steyr is a historic industrial city in northern Austria known for its well-preserved old town and long tradition of metalworking and manufacturing.
  • D. Stoeger
    Stoeger is a firearms manufacturer and importer known for producing affordable shotguns, pistols, and airguns, and operating as part of the Beretta Holding group.
  • E. Rheinmetall
    Rheinmetall is a major German defense and automotive company best known for producing advanced military technologies, including the main armament and systems for modern battle tanks.
  • 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_69ca82f56730819080cec5d991c76f4c completed March 30, 2026, 2:04 p.m.
NER Named-entity recognition batch_69cb80bf6b8081909b98762b1f900bef completed March 31, 2026, 8:07 a.m.
NED1 Entity disambiguation (via context triple) batch_69ce889d38508190977b112db0253606 completed April 2, 2026, 3:17 p.m.
Created at: March 30, 2026, 6:01 p.m.