Triple
T20260020
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Bölkow |
E498808
|
entity |
| Predicate | namedAfter |
P63
|
FINISHED |
| Object | Ludwig Bölkow |
—
|
NE NERFINISHED |
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: Ludwig Bölkow | Statement: [Bölkow, namedAfter, Ludwig Bölkow]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Ludwig Bölkow Context triple: [Bölkow, namedAfter, Ludwig Bölkow]
-
A.
Ludwig Bölkow
chosen
Ludwig Bölkow was a prominent German aerospace engineer and industrialist who played a key role in postwar European aviation and space technology development.
-
B.
Henrich Focke
Henrich Focke was a German aviation engineer and pioneer who co-founded the aircraft manufacturer Focke-Wulf and became a key figure in early helicopter development.
-
C.
Heinrich Wörner
Heinrich Wörner is a German architect best known for designing the main building of the Topography of Terror documentation center in Berlin.
-
D.
Erich Bachem
Erich Bachem was a German aeronautical engineer best known for designing innovative and experimental aircraft during World War II and later contributing to postwar aerospace and industrial design.
-
E.
Werner Dettwiler
Werner Dettwiler is a Swiss businessman best known as the founder of the Swiss medical technology company MDA.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (2 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_69da6275fa6c8190952924930adee150 |
completed | April 11, 2026, 3:02 p.m. |
| NER | Named-entity recognition | batch_69e674c90d00819082f68822635ee86a |
completed | April 20, 2026, 6:47 p.m. |
Created at: April 11, 2026, 11:41 p.m.