Triple
T10082733
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | HK33 |
E213942
|
entity |
| Predicate | manufacturer |
P490
|
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: [HK33, manufacturer, Heckler & Koch]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Heckler & Koch Context triple: [HK33, manufacturer, 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_69ca839bf730819086900c323c9b8c95 |
completed | March 30, 2026, 2:07 p.m. |
| NER | Named-entity recognition | batch_69cdd04352d081908f676444cd2d2578 |
completed | April 2, 2026, 2:11 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d2cbcc82988190903efb78d0a4ce81 |
completed | April 5, 2026, 8:53 p.m. |
Created at: March 30, 2026, 9 p.m.