Triple
T9320778
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | A1 motorway |
E224249
|
entity |
| Predicate | connectsCity |
P4245
|
FINISHED |
| Object | Aarau |
E99980
|
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: Aarau | Statement: [A1 motorway, connectsCity, Aarau]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Aarau Context triple: [A1 motorway, connectsCity, Aarau]
-
A.
Aarau
chosen
Aarau is a historic Swiss town and the capital of the canton of Aargau, known for its well-preserved old town and location near the Aare River.
-
B.
Rüthen
Rüthen is a small historic town in North Rhine-Westphalia, Germany, known for its medieval architecture and location in the scenic Sauerland region.
-
C.
Aarburg
Aarburg is a historic Swiss town in the canton of Aargau, known for its prominent riverside fortress overlooking the Aare River.
-
D.
Lauterach
Lauterach is a municipality in the Austrian state of Vorarlberg, located in the district of Bregenz near the Rhine Valley.
-
E.
Lauterach
Lauterach is a small municipality in the Alb-Donau district of Baden-Württemberg in southern Germany, known for its rural character and scenic Swabian Jura surroundings.
- 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_69ca8426d48481909596360f7791c7dd |
completed | March 30, 2026, 2:09 p.m. |
| NER | Named-entity recognition | batch_69cd358dcb4c81909e00bfb58a6dda3f |
completed | April 1, 2026, 3:11 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d0c7cc71e48190afdc3f1120ce5e02 |
completed | April 4, 2026, 8:11 a.m. |
Created at: March 30, 2026, 7:38 p.m.