Triple
T4124304
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Wilhelm Conrad Röntgen |
E92687
|
entity |
| Predicate | birthPlace |
P1
|
FINISHED |
| Object | Lennep |
E92687
|
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: Lennep | Statement: [Wilhelm Conrad Röntgen, birthPlace, Lennep]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Lennep Context triple: [Wilhelm Conrad Röntgen, birthPlace, Lennep]
-
A.
Lennep
chosen
Lennep is a historic district of the German city of Remscheid in North Rhine-Westphalia, known as the birthplace of physicist Wilhelm Röntgen.
-
B.
Leven
Leven is a coastal town in eastern Scotland, situated on the Firth of Forth in the council area of Fife.
-
C.
Breyten
Breyten is the given name of Breyten Breytenbach, the renowned South African poet, painter, and anti-apartheid activist.
-
D.
Lelkowo
Lelkowo is a small village in northern Poland located in the Warmian-Masurian Voivodeship near the border with Russia’s Kaliningrad Oblast.
-
E.
Staaken
Staaken is a locality in western Berlin, Germany, known for its residential areas and historical role as part of the Spandau district near the former inner-German border.
- 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_69aed9685f70819086932777aec8d959 |
completed | March 9, 2026, 2:30 p.m. |
| NER | Named-entity recognition | batch_69af0208903c8190a7f451a455d3e253 |
completed | March 9, 2026, 5:23 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b576b67fc881909d12481e61a07bf5 |
completed | March 14, 2026, 2:54 p.m. |
Created at: March 9, 2026, 3:41 p.m.