Triple
T8017835
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Märklin |
E186664
|
entity |
| Predicate | headquartersLocation |
P62
|
FINISHED |
| Object | Göppingen, Germany |
E35718
|
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: Göppingen, Germany | Statement: [Märklin, headquartersLocation, Göppingen, Germany]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Göppingen, Germany Context triple: [Märklin, headquartersLocation, Göppingen, Germany]
-
A.
Göppingen, Germany
chosen
Göppingen is a town in the German state of Baden-Württemberg known as an industrial and technology hub, including being home to the remote-access software company TeamViewer.
-
B.
Giessen, Germany
Giessen, Germany is a central German university town in the state of Hesse, known for its large student population and academic institutions.
-
C.
Badenweiler, Germany
Badenweiler, Germany is a spa town in the Black Forest region of southwestern Germany, renowned for its thermal baths and historic resort atmosphere.
-
D.
Pfaffenweiler, Germany
Pfaffenweiler is a small town in southwestern Germany known for its historical ties and sister-city relationship with Jasper, Indiana.
-
E.
Schröttinghausen, Germany
Schröttinghausen is a small locality in Germany best known as the birthplace of influential astronomer Walter Baade.
- 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_69ca82ac7fc081909b1398cf025423af |
completed | March 30, 2026, 2:03 p.m. |
| NER | Named-entity recognition | batch_69cb3df4f1b8819089a8b67f136bce9a |
completed | March 31, 2026, 3:22 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69cc56c213ec8190b3bd96c42d1357e4 |
completed | March 31, 2026, 11:20 p.m. |
Created at: March 30, 2026, 5:20 p.m.