Triple
T17184771
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Kraftwerk |
E417076
|
entity |
| Predicate | notableWork |
P4
|
FINISHED |
| Object | Autobahn |
E1236887
|
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 | Statement: [Kraftwerk, notableWork, Autobahn]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Autobahn Context triple: [Kraftwerk, notableWork, Autobahn]
-
A.
Autobahn
Autobahn is a track featured in the racing video game "Blueprints for the Black Market," likely inspired by Germany’s high-speed highway system.
-
B.
Autobahn
chosen
The Autobahn is Germany’s federal high-speed highway network, renowned for its extensive reach and sections without mandatory speed limits.
-
C.
A1 West Autobahn
The A1 West Autobahn is one of Austria’s major east–west motorways, connecting Vienna with Salzburg and serving key cities such as St. Pölten along its route.
-
D.
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.
-
E.
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.
- 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_69d886d5f34c8190b24564dfaa63f3fb |
completed | April 10, 2026, 5:12 a.m. |
| NER | Named-entity recognition | batch_69e42d9556c881908ccaee4ef77dbe1f |
completed | April 19, 2026, 1:19 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a015fcc424081908a7e74df0523443e |
completed | May 11, 2026, 4:49 a.m. |
Created at: April 10, 2026, 5:37 a.m.