Triple
T8026153
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | August Borsig |
E186858
|
entity |
| Predicate | founded |
P104
|
FINISHED |
| Object | Borsig company |
E706145
|
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: Borsig company | Statement: [August Borsig, founded, Borsig company]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Borsig company Context triple: [August Borsig, founded, Borsig company]
-
A.
Borsigwerke
Borsigwerke is a Berlin U-Bahn station on line U6 serving the Tegel district in the city’s northwest.
-
B.
Borsig
chosen
Borsig is a German surname most prominently associated with August Borsig, a 19th-century industrialist and locomotive manufacturer.
-
C.
Gothaer Waggonfabrik
Gothaer Waggonfabrik was a German industrial company best known for producing military aircraft, including heavy bombers, during World War I.
-
D.
Krupp (company)
Krupp (company) was a major German industrial conglomerate best known for its steel production and armaments manufacturing, playing a central role in both World Wars and in the development of heavy industry in Germany.
-
E.
Gustloff-Werke
Gustloff-Werke was a German arms manufacturer best known for producing rifles and other small arms for the Wehrmacht during the Nazi era.
- 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_69ca82ad4e2c8190a693e3c9e30fe66f |
completed | March 30, 2026, 2:03 p.m. |
| NER | Named-entity recognition | batch_69cb3ecb00648190bb3144acf3492bb3 |
completed | March 31, 2026, 3:26 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69cc63c911c081909751b614966d986c |
completed | April 1, 2026, 12:16 a.m. |
Created at: March 30, 2026, 5:21 p.m.