Triple
T21016343
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Reinach (Basel-Landschaft) |
E517686
|
entity |
| Predicate | hasTwinTown |
P919
|
FINISHED |
| Object | Wittenheim |
—
|
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: Wittenheim | Statement: [Reinach (Basel-Landschaft), hasTwinTown, Wittenheim]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Wittenheim Context triple: [Reinach (Basel-Landschaft), hasTwinTown, Wittenheim]
-
A.
Wittenheim
chosen
Wittenheim is a commune in the Haut-Rhin department of northeastern France, situated near Mulhouse in the historical region of Alsace.
-
B.
Viernheim
Viernheim is a town in the state of Hesse in southwestern Germany, known as a residential and commercial center within the Rhine-Neckar metropolitan region.
-
C.
Windsheim
Windsheim is a historic town in northern Bavaria, Germany, known today as Bad Windsheim, noted for its medieval architecture and spa traditions.
-
D.
Oppenweiler
Oppenweiler is a small municipality in the German state of Baden-Württemberg, situated in the Rems-Murr district near the city of Stuttgart.
-
E.
Willebadessen
Willebadessen is a small town in western Germany, located in the state of North Rhine-Westphalia.
- 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_69e0b50262b081909bc488937145eb73 |
completed | April 16, 2026, 10:08 a.m. |
| NER | Named-entity recognition | batch_69e6fc5968c081909ae6407199858aba |
completed | April 21, 2026, 4:26 a.m. |
Created at: April 16, 2026, 1:54 p.m.