Triple
T2430456
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Sturmgewehr 44 |
E52829
|
entity |
| Predicate | manufacturer |
P490
|
FINISHED |
| Object | Steyr-Daimler-Puch |
E256620
|
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: Steyr-Daimler-Puch | Statement: [Sturmgewehr 44, manufacturer, Steyr-Daimler-Puch]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Steyr-Daimler-Puch Context triple: [Sturmgewehr 44, manufacturer, Steyr-Daimler-Puch]
-
A.
Steyr-Daimler-Puch
chosen
Steyr-Daimler-Puch was a major Austrian industrial conglomerate best known for producing firearms, vehicles, and machinery throughout the 20th century.
-
B.
Krauss-Maffei Wegmann
Krauss-Maffei Wegmann is a German defense company specializing in the design and production of armored vehicles and military land systems.
-
C.
Borsigwerke
Borsigwerke is a Berlin U-Bahn station on line U6 serving the Tegel district in the city’s northwest.
-
D.
Neoplan
Neoplan is a German bus and coach manufacturer renowned for its innovative, high-end touring and city buses.
-
E.
Škoda
Škoda is a Czech automobile manufacturer known for producing practical, affordable cars and operating as a subsidiary brand within the Volkswagen Group.
- 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_69ab4959bcc0819083246f9fb10439e3 |
completed | March 6, 2026, 9:38 p.m. |
| NER | Named-entity recognition | batch_69abc99fcd048190a85b95a9a8ae6d4d |
completed | March 7, 2026, 6:45 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69aebf68d6a481909acd43eb31660f0e |
completed | March 9, 2026, 12:39 p.m. |
Created at: March 6, 2026, 9:43 p.m.