Triple
T11564055
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | MG 34 |
E274209
|
entity |
| Predicate | manufacturer |
P490
|
FINISHED |
| Object | Gustloff-Werke |
E256621
|
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: Gustloff-Werke | Statement: [MG 34, manufacturer, Gustloff-Werke]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Gustloff-Werke Context triple: [MG 34, manufacturer, Gustloff-Werke]
-
A.
Gustloff-Werke
chosen
Gustloff-Werke was a German arms manufacturer best known for producing rifles and other small arms for the Wehrmacht during the Nazi era.
-
B.
Germaniawerft
Germaniawerft was a major German shipbuilding company and naval shipyard in Kiel, known for constructing warships for the Imperial German Navy and later the Kriegsmarine.
-
C.
Blohm+Voss shipyards
Blohm+Voss shipyards is a historic German shipbuilding and engineering company in Hamburg, renowned for constructing naval vessels, large commercial ships, and luxury yachts.
-
D.
Deutsche Werft AG
Deutsche Werft AG was a German shipbuilding company based in Hamburg, known for constructing naval vessels and submarines, particularly during the World War II era.
-
E.
Borsigwerke
Borsigwerke is a Berlin U-Bahn station on line U6 serving the Tegel district in the city’s northwest.
- 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_69d6aae5ac3c81908d2b0a3a665665b2 |
completed | April 8, 2026, 7:22 p.m. |
| NER | Named-entity recognition | batch_69d88dd321f88190a57ecaf079fbbc3f |
completed | April 10, 2026, 5:42 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69e6e8b1a67481909a05105728acc358 |
completed | April 21, 2026, 3:02 a.m. |
Created at: April 8, 2026, 9:37 p.m.