Triple
T5758454
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Gailingen am Hochrhein |
E127027
|
entity |
| Predicate | hasNeighbouringMunicipality |
P224
|
FINISHED |
| Object | Gottmadingen |
E487688
|
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: Gottmadingen | Statement: [Gailingen am Hochrhein, hasNeighbouringMunicipality, Gottmadingen]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Gottmadingen Context triple: [Gailingen am Hochrhein, hasNeighbouringMunicipality, Gottmadingen]
-
A.
Gottmadingen
chosen
Gottmadingen is a municipality in the state of Baden-Württemberg in southern Germany, near the Swiss border.
-
B.
Göming
Göming is a small municipality in the Austrian state of Salzburg, situated in the Salzburg-Umgebung (Flachgau) region near the city of Salzburg.
-
C.
Schöngarth
Schöngarth is a German surname most notably associated with Eberhard Schöngarth, a high-ranking Nazi SS officer and war criminal during World War II.
-
D.
Freyung
Freyung is a small town in southeastern Bavaria, Germany, known as a gateway to the Bavarian Forest region.
-
E.
Goppenstein
Goppenstein is a small Swiss village in the canton of Valais, best known as a key railway junction and car shuttle station on the Lötschberg route through the Alps.
- 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_69c00833a3fc81908f4bc29ed011b7a6 |
completed | March 22, 2026, 3:18 p.m. |
| NER | Named-entity recognition | batch_69c029363c988190b12f3f7b68295748 |
completed | March 22, 2026, 5:39 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c07e4c70808190a31bb41d4baa5865 |
completed | March 22, 2026, 11:42 p.m. |
Created at: March 22, 2026, 3:49 p.m.