Triple
T19492556
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Singen (Hohentwiel) |
E487686
|
entity |
| Predicate | hasNeighbouringMunicipality |
P224
|
FINISHED |
| Object | Rielasingen-Worblingen |
—
|
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: Rielasingen-Worblingen | Statement: [Singen (Hohentwiel), hasNeighbouringMunicipality, Rielasingen-Worblingen]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Rielasingen-Worblingen Context triple: [Singen (Hohentwiel), hasNeighbouringMunicipality, Rielasingen-Worblingen]
-
A.
Rielasingen-Worblingen
chosen
Rielasingen-Worblingen is a municipality in southwestern Germany near the Swiss border, known for its location in the Hegau region of Baden-Württemberg.
-
B.
Riedlingen
Riedlingen is a small historic town in the state of Baden-Württemberg in southern Germany, known for its well-preserved medieval old town on the Danube River.
-
C.
Rellingen
Rellingen is a municipality in the district of Pinneberg in Schleswig-Holstein, northern Germany, known for its historic church and proximity to Hamburg.
-
D.
Rielingshausen
Rielingshausen is a village and district of the town of Marbach am Neckar in the German state of Baden-Württemberg.
-
E.
Röfingen
Röfingen is a small municipality in the Bavarian region of Swabia in southern Germany.
- 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_69d8e8d9d1c88190b01cd78b8be49384 |
completed | April 10, 2026, 12:11 p.m. |
| NER | Named-entity recognition | batch_69e6348f4d708190a6e612863fee4b97 |
completed | April 20, 2026, 2:13 p.m. |
Created at: April 10, 2026, 1:39 p.m.