Triple
T10568970
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Ahrensburg |
E249427
|
entity |
| Predicate | locatedNear |
P294
|
FINISHED |
| Object | Autobahn A1 |
E443210
|
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: Autobahn A1 | Statement: [Ahrensburg, locatedNear, Autobahn A1]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Autobahn A1 Context triple: [Ahrensburg, locatedNear, Autobahn A1]
-
A.
Autobahn A1
chosen
Autobahn A1 is one of Germany’s major north–south motorways, connecting key cities from the Baltic Sea coast down through western Germany.
-
B.
Autobahn A9
Autobahn A9 is a major German motorway running roughly north–south and connecting Berlin with Munich, serving as one of the country’s key long-distance transport corridors.
-
C.
Autobahn A10
Autobahn A10, also known as the Berliner Ring, is the orbital motorway encircling Berlin and one of Germany’s most important and heavily used highway routes.
-
D.
Autobahn A7
Autobahn A7 is one of Germany’s longest and most important north–south motorways, running from the Danish border through central Germany toward the Austrian border.
-
E.
Autobahn A2
Autobahn A2 is a major east–west German motorway that connects the Ruhr area with Berlin and serves as a key transit route across central Germany.
- 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_69d381c8bd708190acf3d275c908251e |
completed | April 6, 2026, 9:50 a.m. |
| NER | Named-entity recognition | batch_69d5272ff53c8190ae7c399d49b585f5 |
completed | April 7, 2026, 3:48 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d94b4c26ec8190910efdf4a236d654 |
completed | April 10, 2026, 7:11 p.m. |
Created at: April 6, 2026, 12:37 p.m.