Triple
T21296279
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Saint-Louis, Haut-Rhin |
E524929
|
entity |
| Predicate | twinnedWith |
P1072
|
FINISHED |
| Object | Königsbrunn |
—
|
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: Königsbrunn | Statement: [Saint-Louis, Haut-Rhin, twinnedWith, Königsbrunn]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Königsbrunn Context triple: [Saint-Louis, Haut-Rhin, twinnedWith, Königsbrunn]
-
A.
Königsbrunn
chosen
Königsbrunn is a town in Bavaria, Germany, located just south of Augsburg and known as a residential and commercial suburb of the city.
-
B.
Schwetzingen
Schwetzingen is a town in southwestern Germany renowned for its Baroque palace and extensive formal gardens.
-
C.
Königsbronn
Königsbronn is a small municipality in the Ostalbkreis district of Baden-Württemberg in southern Germany, known for its scenic Swabian Jura landscape and historic ironworks.
-
D.
Schwellbrunn
Schwellbrunn is a Swiss village and municipality known for its scenic rural setting in the hilly Appenzell region.
-
E.
Katharinenfeld
Katharinenfeld was the historical German settler colony that later became the town of Bolnisi in southern Georgia.
- 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_69e0b517e6748190850d6f6ddf323d69 |
completed | April 16, 2026, 10:08 a.m. |
| NER | Named-entity recognition | batch_69e7385858ec8190bdc9c5cdcb8d4507 |
completed | April 21, 2026, 8:42 a.m. |
Created at: April 16, 2026, 4:04 p.m.